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

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Documentation for package ‘capybara’ version 1.0.1

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

Help Pages

capybara-package	Generalized Linear Models (GLMs) with high-dimensional k-way fixed effects
apes	Compute average partial effects after fitting binary choice models with a 1,2,3-way error component
augment.feglm	Broom Integration
augment.felm	Broom Integration
autoplot.feglm	Autoplot method for feglm objects
autoplot.felm	Autoplot method for feglm objects
bias_corr	Asymptotic bias correction after fitting binary choice models with a 1,2,3-way error component
capybara	Generalized Linear Models (GLMs) with high-dimensional k-way fixed effects
feglm	GLM fitting with high-dimensional k-way fixed effects
feglm_control	Set 'feglm' Control Parameters
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
fixed_effects	Recover the estimates of the fixed effects after fitting (G)LMs
glance.feglm	Broom Integration
glance.felm	Broom Integration
summary_table	Generate formatted regression tables
tidy.feglm	Broom Integration
tidy.felm	Broom Integration
trade_panel	Trade Panel 1986-2006
vcov.feglm	Covariance matrix for GLMs
vcov.felm	Covariance matrix for LMs