NEWS | R Documentation |
All routines now use setDT()
instead of as.data.table()
to avoid unnecessary copies (suggested in #6 @zauster).
feglm.nb()
now returns 'iter' and 'conv' based on iterations of the outer loop.
Fixed a bug in feglm()
that prevented to use I()
for the dependent variable.
Fixed an error in getAPEs()
related to the covariance.
The last line of print.summary.feglm()
now ends with a line break (#6 @zauster).
The internal function feglmFit()
now correctly sets 'conv' if the algorithm does not converge (#5 @zauster).
Fixed some typos in the vignette.
feglm()
now allows to estimate binomial model with fractional response.
Added feglm.nb()
for negative binomial models.
Added post-estimation routine biasCorr()
for analytical bias-corrections (currently restricted to logit and probit models with two-way error component).
Added post-estimation routine getAPEs()
to estimate average partial effects and the corresponding standard errors (currently restricted to logit and probit models with two-way error component).
getFEs()
now returns a list of named vectors. Each vector refers to one fixed effects category (suggested in #4 @zauster).
Changed stopping criteria to the one used by glm()
.
Changed least squares fit to QR (similar to lsfit()
used by glm()
).
Source code and vignettes revised.
Initial release on CRAN.