Man pages for alpaca
Fit GLM's with High-Dimensional k-Way Fixed Effects
| alpaca-package | alpaca: A package for fitting glm's with high-dimensional... |
| biasCorr | Asymptotic bias correction after fitting binary choice models... |
| 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... |
| feglmControl | Set 'feglm' Control Parameters |
| feglm.nb | Efficiently fit negative binomial glm's with high-dimensional... |
| fitted.feglm | Extract 'feglm' fitted values |
| getAPEs | Compute average partial effects after fitting binary choice... |
| getFEs | Efficiently recover estimates of the fixed effects after... |
| 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... |
| 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' |
