Fast and Memory Efficient Fitting of Linear Models with High-Dimensional Fixed Effects

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Documentation for package ‘capybara’ version 2.0.0

• DESCRIPTION file
• User guides, package vignettes and other documentation
• Package NEWS
• Package README

Help Pages

capybara-package	Generalized Linear Models (GLMs) with high-dimensional k-way fixed effects
augment.feglm	Broom Integration
augment.felm	Broom Integration
autoplot.feglm	Autoplot method for feglm objects
autoplot.felm	Autoplot method for feglm objects
capybara	Generalized Linear Models (GLMs) with high-dimensional k-way fixed effects
correia2019	Separation Example Datasets
feglm	GLM fitting with high-dimensional k-way fixed effects
felm	LM fitting with high-dimensional k-way fixed effects
fenegbin	Negative Binomial model fitting with high-dimensional k-way fixed effects
fepoisson	Poisson model fitting high-dimensional with k-way fixed effects
fepoisson_asymmetric	Asymmetric Poisson Pseudo-Maximum Likelihood (APPML) Estimation
fe_table	Generate fixed effects tables
fit_control	Set 'feglm' Control Parameters
glance.feglm	Broom Integration
glance.felm	Broom Integration
ross2004	Subset of WTO data from Ross (2004)
sandwich_vcov	Recompute Sandwich Variance-Covariance Matrix
summary_table	Generate formatted regression tables
tidy.feglm	Broom Integration
tidy.felm	Broom Integration
update.feglm	Update a fitted 'feglm' model
update.felm	Update a fitted 'felm' model
update.felm_formula	Update a 'felm_formula' object
vcov.feglm	Covariance matrix for GLMs
vcov.felm	Covariance matrix for LMs