alpaca-package          alpaca: A package for fitting glm's with
                        high-dimensional k-way fixed effects
biasCorr                Asymptotic bias correction after fitting binary
                        choice models with a one-/two-/three-way error
                        component
coef.APEs               Extract estimates of average partial effects
coef.feglm              Extract estimates of structural parameters
coef.summary.APEs       Extract coefficient matrix for average partial
                        effects
coef.summary.feglm      Extract coefficient matrix for structural
                        parameters
feglm                   Efficiently fit glm's with high-dimensional
                        k-way fixed effects
feglm.nb                Efficiently fit negative binomial glm's with
                        high-dimensional k-way fixed effects
feglmControl            Set 'feglm' Control Parameters
fitted.feglm            Extract 'feglm' fitted values
getAPEs                 Compute average partial effects after fitting
                        binary choice models with a one-/two-/three-way
                        error component
getFEs                  Efficiently recover estimates of the fixed
                        effects after fitting 'feglm'
predict.feglm           Predict method for 'feglm' fits
print.APEs              Print 'APEs'
print.feglm             Print 'feglm'
print.summary.APEs      Print 'summary.APEs'
print.summary.feglm     Print 'summary.feglm'
simGLM                  Generate an artificial data set for some GLM's
                        with two-way fixed effects
summary.APEs            Summarizing models of class 'APEs'
summary.feglm           Summarizing models of class 'feglm'
vcov.APEs               Compute covariance matrix after estimating
                        'APEs'
vcov.feglm              Compute covariance matrix after fitting 'feglm'
