Packaged: 2020-06-07 14:27:06 UTC; choonghyunryu

Depends: R (>= 3.2.0), ggplot2 (>= 3.0.0), randomForest
Imports: caTools, cli (>= 1.1.0), dlookr, dplyr (>= 0.7.6), future,
ggmosaic, MASS, MLmetrics, methods, party, purrr, ROCR, ranger,
rlang, rpart, stats, tibble, tidyr, tidyselect, unbalanced,
Packaged: 2021-02-22 04:18:57 UTC; choonghyunryu

Suggests: knitr, ISLR, mice, mlbench, rmarkdown
Packaged: 2021-11-30 23:02:43 UTC; choonghyunryu

rlang, rpart, stats, tibble, tidyr, tidyselect, xgboost, glmnet
Suggests: knitr, ISLR, mice, mlbench, rmarkdown, stringi
Packaged: 2022-05-25 07:14:47 UTC; choonghyunryu

ggmosaic, MASS, MLmetrics, methods, parallelly, party, purrr,
ROCR, ranger, rlang, rpart, stats, tibble, tidyr, tidyselect,
Packaged: 2022-06-12 15:01:32 UTC; choonghyunryu

Title: Fit GLM's with High-Dimensional k-Way Fixed Effects
Authors@R: c(person("Amrei", "Stammann", email = "amrei.stammann@hhu.de", role = c("aut", "cre")),
person("Daniel", "Czarnowske", email = "daniel.czarnowske@hhu.de", role = c("aut")))
Description: Provides a routine to concentrate 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 proposed by Stammann (2018) <arXiv:1707.01815> and is
restricted to glm's that are based on maximum likelihood estimation and non-linear. It also offers
an efficient algorithm to recover estimates of the fixed effects in a post-estimation routine.
The package also includes robust and multi-way clustered standard errors.
Imports: data.table, Formula, MASS, Rcpp, stats, utils

person("Amrei", "Stammann", email = "amrei.stammann@hhu.de", role = c("aut", "cre")),
person("Daniel", "Czarnowske", email = "daniel.czarnowske@hhu.de", role = c("aut"),
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 an
analytical bias-correction for binary choice models (logit and probit) derived by Fernandez-Val