| 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 |