| 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 |