Changes in version 0.7.3 (2025-10-27) o Replaced `qr()` by `lm.fit` to fix memory issue o Updated maintainer email address and removed CPP11 restriction (#13 @zeileis) Changes in version 0.7.2 (2022-08-11) o Replaced NEWS.txt with NEWS.Rd. o Improved the finite sample performance of bias corrections for the average partial effects in case of perfectly classified observations. o The default option 'n_pop' in get_APEs() has been changed. Now the estimated covariance consists of the delta method part only, i.e. correction factor = 0. Changes in version 0.7.1 (2020-10-30) o Step-halving is now similar to glm.fit2(). o Fixed an error in the covariance (influence function) of get_APEs(). o Added reference for the bias correction in 'citation()'. o Updated some references in the documentation and vignette. o Fixed some typos in the documentation and vignette. Changes in version 0.7 (2020-01-12) o Added a generic function logLik() that returns the sum of the log-likelihood. o 'X_new' in predict() now also permits data.frames. o bife() now permits to expand functions with poly() and bs(). o Added option 'sampling_fe' to get_APEs() to impose simplifying assumptions when estimating the covariance matrix. o Fixed an error in get_APEs() related to the estimation of the covariance. o Fixed a bug in the internal function used to estimate spectral densities. Changes in version 0.6 (2019-05-24) o Major source code cleaning and revision. o Vignette renamed and revised. o The asymptotic bias-correction is ported to a post-estimation routine bias_corr(). o Replaced the bias-correction of Hahn and Newey (2004) with the one of Fernandez-Val (2009), i.e. refined bias expressions plus dynamic feedback possible. o The post-estimation routine apeff_bife() was renamed to get_APEs() and also returns an estimate of the covariance using the delta method. o Fixed a bug where the number of perfectly classified observations was not reported correctly. This bug also caused the estimates of the average partial effects to be unreliable for small time horizons. o Some performance tweaks. o Removed 'acs' data to reduce overall package size. Changes in version 0.5 (2018-03-07) o Changed the handling of factor() in the formula interface. This should now be more in line with what users expect. o fixed() is removed since it is redundant now. o Realigned print.summary.bife(). Changes in version 0.4 (2017-05-07) o Fixed a memory-access error in 'bife.cpp'. Changes in version 0.3 (2017-05-04) o Added a generic function predict(). o Additional downgrades to ensure compability with g++ 4.4.x. o Downgraded compiled code from C++11 to C++98. This ensures compability with older compilers. o Removed jackknife bias-correction from bife() and apeff_bife(). o apeff_bife() now uses the full sample instead of a sub-sample of indiviuals with a varying response. o Changed default argument 'discrete' of apeff_bife() to 'NULL'. o Changed default argument 'bias_corr' of apeff_bife() to '"ana"'. o Fixed an issue where vcov() was not able to distinguish between corrected and uncorrected coefficients. Changes in version 0.2 (2017-03-02) o Added a function fixed() to model additional fixed-effects. See documentation for further details. o Re-structured compiled code to optimize package size. o Changed some function and argument names to common naming convention. For instance apeff.bife(..., bias.corr = "ana") is now apeff_bife(..., bias_corr = "ana"). o Downgraded compiled code from C++11 to C++98. This ensures compability with older compilers. o Added comments and renamed variables such that they are in line with the notation of the corresponding working paper. o Fixed some typos in documentation. o Fixed an issue where bife() was not able to fit a model with just one explanatory variable. o Corrected computation of degrees of freedom. Changes in version 0.1 (2016-07-29) o Initial release on CRAN.