Man pages for amrei-stammann/alpaca
Fit GLM's with High-Dimensional k-Way Fixed Effects

alpacaalpaca: A package for fitting glm's with high-dimensional...
alpaca-packagealpaca: A package for fitting glm's with high-dimensional...
biasCorrAsymptotic bias correction after fitting binary choice models...
coef.APEsExtract estimates of average partial effects
coef.feglmExtract estimates of structural parameters
coef.summary.APEsExtract coefficient matrix of average partial effects
coef.summary.feglmExtract coefficient matrix of structural parameters
feglmEfficiently fit glm's with high-dimensional k-way fixed...
feglm.controlSet 'feglm' Control Parameters
feglmControlSet 'feglm' Control Parameters
feglm.nbEfficiently fit negative binomial glm's with high-dimensional...
fitted.feglmExtract 'feglm' fitted values
getAPEsCompute average partial effects after fitting binary choice...
getFEsEfficiently recover estimates of the fixed effects after...
predict.feglmPredict method for 'feglm' fits
print.APEsPrint 'APEs'
print.feglmPrint 'feglm'
print.summary.APEsPrint 'summary.APEs'
print.summary.feglmPrint 'summary.feglm'
simGLMGenerate an artificial data set for some GLM's with two-way...
summary.APEsSummarizing models of class 'APEs'
summary.feglmSummarizing models of class 'feglm'
vcov.feglmExtract estimates of the covariance matrix
amrei-stammann/alpaca documentation built on Jan. 22, 2020, 8:09 p.m.