Fast and Memory Efficient Fitting of Linear Models with High-Dimensional Fixed Effects
Compute average partial effects after fitting binary choice models wit...
Autoplot method for feglm objects
Asymptotic bias correction after fitting binary choice models with a 1...
Broom Integration
Generalized Linear Models (GLMs) with high-dimensional k-way fixed eff...
Set feglm Control Parameters
GLM fitting with high-dimensional k-way fixed effects
LM fitting with high-dimensional k-way fixed effects
Negative Binomial model fitting with high-dimensional k-way fixed effe...
Poisson model fitting high-dimensional with k-way fixed effects
Recover the estimates of the fixed effects after fitting (G)LMs
Objects exported from other packages
Generate formatted regression tables
Covariance matrix for GLMs
Covariance matrix for LMs
Fast and user-friendly estimation of generalized linear models with multiple fixed effects and cluster the standard errors. The method to obtain the estimated fixed-effects coefficients is based on Stammann (2018) <doi:10.48550/arXiv.1707.01815>, Gaure (2013) <doi:10.1016/j.csda.2013.03.024>, Berge (2018) <https://ideas.repec.org/p/luc/wpaper/18-13.html>, and Correia et al. (2020) <doi: 10.1177/1536867X20909691>.
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