includes robust and multi-way clustered standard errors. Further the package provides analytical
bias corrections for binary choice models (logit and probit) derived by Fernandez-Val
and Weidner (2016) <doi:10.1016/j.jeconom.2015.12.014> and Hinz, Stammann, and Wanner (2019).

person("Amrei", "Stammann", email = "amrei.stammann@rub.de", role = c("aut", "cre")),
Description: Provides a routine to partial out factors with many levels during the
The package is based on the algorithm described in Stammann (2018) <arXiv:1707.01815> and is
and Weidner (2016) <doi:10.1016/j.jeconom.2015.12.014> and Hinz, Stammann, and Wanner (2020)
Suggests: bife, car, knitr, lfe, rmarkdown

Description: Provides a routine to partial out factors with many levels during the optimization of the log-likelihood function of the corresponding generalized linear model (glm). The package is based on the algorithm described in Stammann (2018) <arXiv:1707.01815> and is restricted to glm's that are based on maximum likelihood estimation and nonlinear. It also offers an efficient algorithm to recover estimates of the fixed effects in a post-estimation routine and includes robust and multi-way clustered standard errors. Further the package provides analytical bias corrections for binary choice models derived by Fernandez-Val and Weidner (2016) <doi:10.1016/j.jeconom.2015.12.014> and Hinz, Stammann, and Wanner (2020) <arXiv:2004.12655>.

Title: Obtain Alpha-Outlier Regions for Well-Known Probability
Description: Given the parameters of a distribution, the package uses the concept of alpha-outliers by Davies and Gather (1993) to flag outliers in a data set. See Davies, L.; Gather, U. (1993): The identification of multiple outliers, JASA, 88 423, 782-792, doi: 10.1080/01621459.1993.10476339 for details.

Description: Given the parameters of a distribution, the package uses the concept of alpha-outliers by Davies and Gather (1993) to flag outliers in a data set. See Davies, L.; Gather, U. (1993): The identification of multiple outliers, JASA, 88 423, 782-792, <doi:10.1080/01621459.1993.10476339> for details.
Depends: Rsolnp, nleqslv, quantreg, graphics