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

## Documentation for package ‘capybara’ version 2.0.0

- 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
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