Last updated on 2020-07-07 05:48:16 CEST.

Flavor | Version | T_{install} | T_{check} | T_{total} | Status | Flags |
---|---|---|---|---|---|---|

r-devel-linux-x86_64-debian-clang | 0.6.6 | 648.17 | 214.31 | 862.48 | OK | |

r-devel-linux-x86_64-debian-gcc | 0.6.6 | 486.81 | 163.28 | 650.09 | OK | |

r-devel-linux-x86_64-fedora-clang | 0.6.6 | 1174.77 | NOTE | |||

r-devel-linux-x86_64-fedora-gcc | 0.6.6 | 1125.46 | OK | |||

r-devel-windows-ix86+x86_64 | 0.6.6 | 1123.00 | 352.00 | 1475.00 | NOTE | |

r-patched-linux-x86_64 | 0.6.6 | 500.60 | 215.32 | 715.92 | OK | |

r-patched-solaris-x86 | 0.6.6 | 1006.60 | ERROR | |||

r-release-linux-x86_64 | 0.6.6 | 497.10 | 214.53 | 711.63 | OK | |

r-release-osx-x86_64 | 0.6.6 | NOTE | ||||

r-release-windows-ix86+x86_64 | 0.6.6 | 1119.00 | 344.00 | 1463.00 | NOTE | |

r-oldrel-osx-x86_64 | 0.6.6 | NOTE | ||||

r-oldrel-windows-ix86+x86_64 | 0.6.6 | 1158.00 | 436.00 | 1594.00 | NOTE |

Version: 0.6.6

Check: installed package size

Result: NOTE

installed size is 39.3Mb

sub-directories of 1Mb or more:

data 4.2Mb

doc 1.7Mb

libs 32.9Mb

Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-windows-ix86+x86_64, r-patched-solaris-x86, r-release-osx-x86_64, r-release-windows-ix86+x86_64, r-oldrel-osx-x86_64, r-oldrel-windows-ix86+x86_64

Version: 0.6.6

Check: tests

Result: ERROR

Running ‘testthat.R’ [98s/213s]

Running the tests in ‘tests/testthat.R’ failed.

Complete output:

> # Had the same issue as in this thread: https://github.com/hadley/testthat/issues/86

> Sys.setenv("R_TESTS" = "")

>

> options(deparse.max.lines = 5, testthat.summary.max_reports = 1000L)

> testthat::test_check("dynamichazard", reporter = "summary")

Loading required package: dynamichazard

Loading required package: survival

Tracing function "expect_known_value" in package "testthat"

Tracing function "expect_known_output" in package "testthat"

Loading required package: DBI

Running tests for GMA: ..................

Testing LAPACK wrapper functions: ..............................................

Running test_PF: ........................................................................................................................................................................................................SS...SSSSSSSS..S12SS..SSSSSSSSSSSS

Testing SMA: ................................

Testing UKF: ..WWWWWW..WWWWWW...WWW.WWWWWW..WWW..WWW..WWW..WWW..WWW..WWW..WWW..WWW.

Testing bigglm_wrapper: ..........

Testing boot: ...S..................................................................................................................................................................................................................................................................................................................................................................................................................

testing cloglog link function: ....S

Testing cpp sampling functions: ..................................................................................................................................................................................................................................................................................................................................................................................................................S.............................................................S....

Running test_cpp_utils.R:: .S............

Testing ddhazard w/ generic things and w/ the the EKF : .....................S.........WWW.......

Testing design_mat_and_risk_obj: ............................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................

Testing fixed_effects_in_E_step: .........

Testing test_fixed_effects_in_M_step: ..........S..

Testing 'get_start_values': ....................

Running tests for hatvalues: ....

Testing examples in man files: .......S.S....SSSS........S

Testing loglike: ....................WWWW.WWWW...

Testing options: .

Testing parallelglm vs. glm: ................................................S

Testing plot functions: ..................WWW....................

Testing predict: .......................................................................WWW........SS

Testing print function: ...SS.....

Testing residuals functions: ..................................................................................................................................................................................................SS

Testing shiny app: ..

Testing static_glm: WWW...WWWWWW.WWW.WWW.WWW.WWW.....WWWWWW.WWW....WWWWWW.WWW...........

Testing summary function: .................

Testing test_utils: ............S......................................

Testing weights in fit: ................

══ Skipped ═════════════════════════════════════════════════════════════════════

1. PF_smooth gives same results (@test_PF.R#71) - Reason: On CRAN

2. Import and export PF cloud from Rcpp gives the same (@test_PF.R#249) - Reason: On CRAN

3. PF_EM gives previous results on head neck data set (@test_PF.R#342) - Reason: On CRAN

4. PF_EM gives previous results on head neck data set with fixed effects and the logit model (@test_PF.R#409) - Reason: On CRAN

5. compute_PF_summary_stats gives previous results (@test_PF.R#434) - Reason: On CRAN

6. 'get_cloud_means' and 'get_cloud_quantiles' gives previous results (@test_PF.R#508) - Reason: On CRAN

7. 'get_ancestors' yields the correct result (@test_PF.R#558) - Reason: On CRAN

8. ´est_params_dens´ gives the same as a R version (@test_PF.R#580) - Reason: On CRAN

9. fixed effect estimation gives the same as an R implementation (@test_PF.R#628) - Reason: On CRAN

10. A few iterations with `type = "VAR"' yields the same as before (@test_PF.R#709) - Reason: On CRAN

11. PF_EM gives the same with restricted and unrestricted model when we estimate all the parameters (@test_PF.R#781) - Reason: On CRAN

12. Using `n_smooth_final` works as expected and yields previous results (@test_PF.R#891) - Reason: On CRAN

13. sampling with a t-distribution gives previous results (@test_PF.R#959) - Reason: On CRAN

14. 'PF_forward_filter' gives the same as 'PF_EM' when it should (@test_PF.R#997) - Reason: On CRAN

15. 'state_fw' gives correct results (@test_PF.R#1126) - Reason: !dir.exists("pf-internals") is TRUE

16. 'state_bw' gives correct results (@test_PF.R#1162) - Reason: !dir.exists("pf-internals") is TRUE

17. 'artificial_prior' gives correct results (@test_PF.R#1197) - Reason: !dir.exists("pf-internals") is TRUE

18. 'observational_cdist' gives correct results (@test_PF.R#1231) - Reason: !dir.exists("pf-internals") is TRUE

19. combining forward and backwards works (@test_PF.R#1276) - Reason: !dir.exists("pf-internals") is TRUE

20. combining prior and backwards works (@test_PF.R#1323) - Reason: !dir.exists("pf-internals") is TRUE

21. mode approximations give expected result (@test_PF.R#1361) - Reason: !dir.exists("pf-internals") is TRUE

22. 'PF_get_score_n_hess' gives the same as an R implementation (@test_PF.R#1481) - Reason: On CRAN

23. warns with randow walk model when covariates are in both fixed and random (@test_PF.R#1619) - Reason: On CRAN

24. works when there are time periods outside where we have data and with a single fixed and random effect (@test_PF.R#1640) - Reason: On CRAN

25. 'fix_seed = FALSE' yields different results at each call (@test_PF.R#1665) - Reason: On CRAN

26. boot yields previously computed values with pbc (@test_boot_est.R#19) - Reason: On CRAN

27. cloglog function gives previous result with simulated data using PF_EM and PF_forward_filter (@test_cloglog.R#56) - Reason: On CRAN

28. mvrnorm gives expected sample mean and variance (@test_cpp_sample_funcs.R#50) - Reason: On CRAN

29. 'mvtrnorm' yields close to uniform sample (@test_cpp_sample_funcs.R#111) - Reason: On CRAN

30. trunc_lp_in_exponential_dist does not truncate when not needed (@test_cpp_utils.R#12) - Reason: On CRAN

31. Different non-integer time_scales gives the same result with ddhazard (@test_ddhazard_n_EKF.R#165) - Reason: On CRAN

32. posterior_approx gives previous found values with fixed effects in M-step (@test_fixed_effects_in_M_step.R#187) - Reason: On CRAN

33. residuals.ddhazard help page examples gives the same results (@test_help_page_examples.R#43) - Reason: On CRAN

34. ddhazard_boot help page examples gives the same results (@test_help_page_examples.R#67) - Reason: On CRAN

35. PF_EM help page example runs and gives previous computed results (@test_help_page_examples.R#129) - Reason: On CRAN

36. Second example on PF help page gives the same result (@test_help_page_examples.R#170) - Reason: On CRAN

37. example in 'PF_EM' with gives previous results w/ a few iterations (@test_help_page_examples.R#226) - Reason: On CRAN

38. `PF_forward_filter` the results stated in the comments and does not alter the .Random.seed as stated on the help page (@test_help_page_examples.R#357) - Reason: On CRAN

39. 'PF_get_score_n_hess' gives previous results (@test_help_page_examples.R#515) - Reason: On CRAN

40. glm and parallelglm gives the same (@test_parallelglm.R#80) - Reason: On CRAN

41. Terms from predict with exponential outcome are correct (@test_predict.R#413) - Reason: On CRAN

42. Different non-integer time_scales gives the same result with predict results (@test_predict.R#474) - Reason: On CRAN

43. print.ddhazard_boot gives the expected output (@test_print.R#39) - Reason: On CRAN

44. Print function for PF objects gives previous results (@test_print.R#89) - Reason: On CRAN

45. Gets previous results with Rossi (@test_residuals.R#209) - Reason: On CRAN

46. Get prevoius residuals with whas500 (@test_residuals.R#236) - Reason: On CRAN

47. Testing util functions to sim series for tests (@test_test_utils.R#28) - Reason: On CRAN

══ Warnings ════════════════════════════════════════════════════════════════════

1. UKF does not fail and both methods give the same (@test_UKF.R#39) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

2. UKF does not fail and both methods give the same (@test_UKF.R#39) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

3. UKF does not fail and both methods give the same (@test_UKF.R#39) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

4. UKF does not fail and both methods give the same (@test_UKF.R#52) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

5. UKF does not fail and both methods give the same (@test_UKF.R#52) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

6. UKF does not fail and both methods give the same (@test_UKF.R#52) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

7. Changing time scale in UKF does no change results when other parems are changed accoridngly (@test_UKF.R#83) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

8. Changing time scale in UKF does no change results when other parems are changed accoridngly (@test_UKF.R#83) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

9. Changing time scale in UKF does no change results when other parems are changed accoridngly (@test_UKF.R#83) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

10. Changing time scale in UKF does no change results when other parems are changed accoridngly (@test_UKF.R#94) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

11. Changing time scale in UKF does no change results when other parems are changed accoridngly (@test_UKF.R#94) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

12. Changing time scale in UKF does no change results when other parems are changed accoridngly (@test_UKF.R#94) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

13. Testing UKF against prev computed values (@test_UKF.R#117) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

14. Testing UKF against prev computed values (@test_UKF.R#117) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

15. Testing UKF against prev computed values (@test_UKF.R#117) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

16. Altering UKF alpha, beta and kappa change the results (@test_UKF.R#140) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

17. Altering UKF alpha, beta and kappa change the results (@test_UKF.R#140) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

18. Altering UKF alpha, beta and kappa change the results (@test_UKF.R#140) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

19. Altering UKF alpha, beta and kappa change the results (@test_UKF.R#144) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

20. Altering UKF alpha, beta and kappa change the results (@test_UKF.R#144) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

21. Altering UKF alpha, beta and kappa change the results (@test_UKF.R#144) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

22. Altering UKF alpha, beta and kappa change the results (@test_UKF.R#152) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

23. Altering UKF alpha, beta and kappa change the results (@test_UKF.R#152) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

24. Altering UKF alpha, beta and kappa change the results (@test_UKF.R#152) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

25. Altering UKF alpha, beta and kappa change the results (@test_UKF.R#161) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

26. Altering UKF alpha, beta and kappa change the results (@test_UKF.R#161) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

27. Altering UKF alpha, beta and kappa change the results (@test_UKF.R#161) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

28. UKF works on simulated data works with exponential model and gives previous results (@test_UKF.R#170) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

29. UKF works on simulated data works with exponential model and gives previous results (@test_UKF.R#170) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

30. UKF works on simulated data works with exponential model and gives previous results (@test_UKF.R#170) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

31. UKF second order model works (that is, gives no errors...) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

32. UKF second order model works (that is, gives no errors...) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

33. UKF second order model works (that is, gives no errors...) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

34. UKF second order model works (that is, gives no errors...) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

35. UKF second order model works (that is, gives no errors...) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

36. UKF second order model works (that is, gives no errors...) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

37. UKF second order model works (that is, gives no errors...) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

38. UKF second order model works (that is, gives no errors...) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

39. UKF second order model works (that is, gives no errors...) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

40. UKF second order model works (that is, gives no errors...) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

41. UKF second order model works (that is, gives no errors...) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

42. UKF second order model works (that is, gives no errors...) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

43. UKF second order model works (that is, gives no errors...) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

44. UKF second order model works (that is, gives no errors...) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

45. UKF second order model works (that is, gives no errors...) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

46. Result of exponential model gives previous results w/ simulated data (@test_ddhazard_n_EKF.R#246) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

47. Result of exponential model gives previous results w/ simulated data (@test_ddhazard_n_EKF.R#246) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

48. Result of exponential model gives previous results w/ simulated data (@test_ddhazard_n_EKF.R#246) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

49. logLik for simulated data versus old results (@test_loglike.R#170) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

50. logLik for simulated data versus old results (@test_loglike.R#170) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

51. logLik for simulated data versus old results (@test_loglike.R#170) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

52. logLik for simulated data versus old results (@test_loglike.R#181) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

53. logLik for simulated data versus old results (@test_loglike.R#189) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

54. logLik for simulated data versus old results (@test_loglike.R#189) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

55. logLik for simulated data versus old results (@test_loglike.R#189) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

56. logLik for simulated data versus old results (@test_loglike.R#202) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

57. Alters mfcol and sets it back (@test_plot.R#74) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

58. Alters mfcol and sets it back (@test_plot.R#74) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

59. Alters mfcol and sets it back (@test_plot.R#74) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

60. get_survival_case_weights_and_data and predict yields consistent result with ids (@test_predict.R#300) - 'varlist' has changed (from nvar=9) to new 12 after EncodeVars() -- should no longer happen!

61. get_survival_case_weights_and_data and predict yields consistent result with ids (@test_predict.R#300) - 'varlist' has changed (from nvar=9) to new 12 after EncodeVars() -- should no longer happen!

62. get_survival_case_weights_and_data and predict yields consistent result with ids (@test_predict.R#300) - 'varlist' has changed (from nvar=9) to new 12 after EncodeVars() -- should no longer happen!

63. Static glm yields expected number of events, correct rows and same result when supplying risk_obj (@test_static_glm.R#10) - 'varlist' has changed (from nvar=5) to new 8 after EncodeVars() -- should no longer happen!

64. Static glm yields expected number of events, correct rows and same result when supplying risk_obj (@test_static_glm.R#10) - 'varlist' has changed (from nvar=5) to new 8 after EncodeVars() -- should no longer happen!

65. Static glm yields expected number of events, correct rows and same result when supplying risk_obj (@test_static_glm.R#10) - 'varlist' has changed (from nvar=5) to new 8 after EncodeVars() -- should no longer happen!

66. Static glm yields expected number of events, correct rows and same result when supplying risk_obj (@test_static_glm.R#22) - 'varlist' has changed (from nvar=5) to new 8 after EncodeVars() -- should no longer happen!

67. Static glm yields expected number of events, correct rows and same result when supplying risk_obj (@test_static_glm.R#22) - 'varlist' has changed (from nvar=5) to new 8 after EncodeVars() -- should no longer happen!

68. Static glm yields expected number of events, correct rows and same result when supplying risk_obj (@test_static_glm.R#22) - 'varlist' has changed (from nvar=5) to new 8 after EncodeVars() -- should no longer happen!

69. Static glm yields expected number of events, correct rows and same result when supplying risk_obj (@test_static_glm.R#25) - 'varlist' has changed (from nvar=5) to new 8 after EncodeVars() -- should no longer happen!

70. Static glm yields expected number of events, correct rows and same result when supplying risk_obj (@test_static_glm.R#25) - 'varlist' has changed (from nvar=5) to new 8 after EncodeVars() -- should no longer happen!

71. Static glm yields expected number of events, correct rows and same result when supplying risk_obj (@test_static_glm.R#25) - 'varlist' has changed (from nvar=5) to new 8 after EncodeVars() -- should no longer happen!

72. static glm gives results with exponential that match previous computations (@test_static_glm.R#38) - 'varlist' has changed (from nvar=5) to new 8 after EncodeVars() -- should no longer happen!

73. static glm gives results with exponential that match previous computations (@test_static_glm.R#38) - 'varlist' has changed (from nvar=5) to new 8 after EncodeVars() -- should no longer happen!

74. static glm gives results with exponential that match previous computations (@test_static_glm.R#38) - 'varlist' has changed (from nvar=5) to new 8 after EncodeVars() -- should no longer happen!

75. static glm gives results with exponential that match previous computations (@test_static_glm.R#49) - 'varlist' has changed (from nvar=5) to new 8 after EncodeVars() -- should no longer happen!

76. static glm gives results with exponential that match previous computations (@test_static_glm.R#49) - 'varlist' has changed (from nvar=5) to new 8 after EncodeVars() -- should no longer happen!

77. static glm gives results with exponential that match previous computations (@test_static_glm.R#49) - 'varlist' has changed (from nvar=5) to new 8 after EncodeVars() -- should no longer happen!

78. design_matrix yields equal result with different values of use_weights (@test_static_glm.R#61) - 'varlist' has changed (from nvar=5) to new 8 after EncodeVars() -- should no longer happen!

79. design_matrix yields equal result with different values of use_weights (@test_static_glm.R#61) - 'varlist' has changed (from nvar=5) to new 8 after EncodeVars() -- should no longer happen!

80. design_matrix yields equal result with different values of use_weights (@test_static_glm.R#61) - 'varlist' has changed (from nvar=5) to new 8 after EncodeVars() -- should no longer happen!

81. design_matrix yields equal result with different values of use_weights (@test_static_glm.R#70) - 'varlist' has changed (from nvar=5) to new 8 after EncodeVars() -- should no longer happen!

82. design_matrix yields equal result with different values of use_weights (@test_static_glm.R#70) - 'varlist' has changed (from nvar=5) to new 8 after EncodeVars() -- should no longer happen!

83. design_matrix yields equal result with different values of use_weights (@test_static_glm.R#70) - 'varlist' has changed (from nvar=5) to new 8 after EncodeVars() -- should no longer happen!

84. Gets same with different methods (@test_static_glm.R#129) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

85. Gets same with different methods (@test_static_glm.R#129) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

86. Gets same with different methods (@test_static_glm.R#129) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

87. Gets same with different methods (@test_static_glm.R#130) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

88. Gets same with different methods (@test_static_glm.R#130) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

89. Gets same with different methods (@test_static_glm.R#130) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

90. Gets same with different methods (@test_static_glm.R#134) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

91. Gets same with different methods (@test_static_glm.R#134) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

92. Gets same with different methods (@test_static_glm.R#134) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

93. Gets same with different methods (@test_static_glm.R#129) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

94. Gets same with different methods (@test_static_glm.R#129) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

95. Gets same with different methods (@test_static_glm.R#129) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

96. Gets same with different methods (@test_static_glm.R#130) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

97. Gets same with different methods (@test_static_glm.R#130) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

98. Gets same with different methods (@test_static_glm.R#130) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

99. Gets same with different methods (@test_static_glm.R#134) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

100. Gets same with different methods (@test_static_glm.R#134) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

101. Gets same with different methods (@test_static_glm.R#134) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!

══ Failed ══════════════════════════════════════════════════════════════════════

── 1. Failure: type = 'VAR' works with non-zero mean with a single term and give

pf_Fear[!names(pf_Fear) %in% c("clouds", "terms")] has changed from known value recorded in './previous_results/PF_VARS_non_zero_mean_inter.RDS'.

Component "fixed_effects": Mean relative difference: 0.002901359

Component "Q": Mean relative difference: 0.008626077

Component "F": Mean relative difference: 0.02800317

Component "EM_ests": Component "fixed_effects": Mean relative difference: 0.001579336

Component "EM_ests": Component "F": Mean relative difference: 0.03066841

Component "EM_ests": Component "Q": Mean relative difference: 0.006057139

Component "log_likes": Mean relative difference: 0.0001233091

Component "effective_sample_size": Component "forward_clouds": Mean relative difference: 0.01896749

Component "effective_sample_size": Component "backward_clouds": Mean relative difference: 0.07705591

...

── 2. Failure: type = 'VAR' works with non-zero mean with a single term and give

pf_Fear[!names(pf_Fear) %in% c("clouds", "terms")] has changed from known value recorded in './previous_results/PF_VARS_non_zero_mean_slope.RDS'.

Component "Q": Mean relative difference: 0.006346787

Component "F": Mean relative difference: 0.5565568

Component "EM_ests": Component "F": Mean relative difference: 0.6634428

Component "EM_ests": Component "Q": Mean relative difference: 0.006143361

Component "effective_sample_size": Component "forward_clouds": Mean relative difference: 0.1431329

Component "effective_sample_size": Component "backward_clouds": Mean relative difference: 0.07384475

Component "effective_sample_size": Component "smoothed_clouds": Mean relative difference: 0.01260983

Component "seed": Mean relative difference: 0.007246377

══ DONE ════════════════════════════════════════════════════════════════════════

Error: Test failures

Execution halted

Flavor: r-patched-solaris-x86