Minor bug fixed for shift-scale transformation models (still experimental).
bread.tram added for
sandwich to work.
mtram vignette; move code to demo.
Add shift-scale transformation models (experimental).
Add methods for probabilistic indices and overlap coefficients + friends.
Models with standardisation now available in
mtram for exact
continuous outcomes and link functions other than probit.
Remove arguments ignored by
Move mtram vignette code to demo as it took too long on Windows for CRAN.
Deal with stratum - covariate interactions, overparameterised coefficients are constraint to zero.
Make sure to use the Schur complement when computing
variances in for linear transformation models in
Fix LaTeX problems.
dofit argument to
Enable nonparametric likelihood estimation by
Matrix for ordered factors with at least
Update simulation code.
Robustify computation of score intervals.
Add Spearman correlation to
Lehmann() parameter is now labelled as proportional reverse time hazard ratio.
mmlt for multivariate conditional transformation models
(continuous responses only for now).
Reproducibility material for <arxiv:1906.03151> added to package.
Force support to start at time zero and constrain cumulative
hazard to zero for time zero in
Aareg for Aalen additive hazard models.
score_test generic and method added for computing
score tests and corresponding confidence intervals.
perm_test generic and method added for computing
permutation score tests.
PI converts log-odds ratios to probabilistic indices and
profile method added for computing
profile likelihood confidence intervals.
Allow additional linear inequality constraints for regression coefficients.
Fix problem in C header file.
Fix problems with responses of class
R, spotted by Balint Tamasi.
Add new demo.
Survreg, spotted by Balint Tamasi.
y | s1:s2 ~ x lead to rank-deficit models, the intercept is
Not really a bug, but time-consuming examples were removed (or replaced by static output) in package vignettes to make CRAN happy.
as.mlt returned an object of class
mlt but not
New marginally interpretable models for clustered data
mtram vignette. This is still
experimental and very rough, so please be careful.
vcov.tram via Schur complement when possible.
Add regression test for count data and
log_first = TRUE.
tram objects are now in line with
allowing post-hoc multiple comparisons.
log_first = TRUE is now accepted by
tram and all
model functions calling
tram. This is still experimental.
Silence regression tests on Windows.
extrapolate = TRUE option for all models constraints
the second derivate of the Bernstein transformation function to be
support. This helps to get rid of possible
discontinuous densities at
Lehmann for fitting shift transformation models those
linear predictor can be interpreted as log-Lehmann-alternative.
method = "loglog" to
bounds = c(0, Inf) for
Surv objects (for example
Update to mlt 1.0-2.
Likelihood ratio tests with fixed parameters gave an error.
Remove strata from linear predictor (experimental).
Try to implement a better guess for the
later defining the axes corresponding to the response
All models accept
tram first published on CRAN.