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

## Documentation for package ‘capybara’ version 1.0.0

- 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