R: Penalized Poisson Pseudo Maximum Likelihood Regression

# Penalized Poisson Pseudo Maximum Likelihood Regression

## Documentation for package ‘penppml’ version 0.2.4

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

AtA | Computing A'A
bootstrap | Bootstrap Lasso Implementation (in development)
cluster_matrix | Cluster-robust Standard Error Estimation
collinearity_check | Checking for Perfect Multicollinearity
compute_fes | Fixed Effects Computation
countries | Country ISO Codes
eigenMapMatMult | Faster Matrix Multiplication
eigenMatMult | Faster Matrix Multiplication
fastolsCpp | Faster Least Squares Estimation
fastridge | Finding Ridge Regression Solutions
fastridgeCpp | Faster Ridge Regression
faststddev | Faster Standard Deviation
fastwmean | Faster Weighted Mean
genfes | Generating a List of Fixed Effects
genmodel | Generating Model Structure
hdfeppml | PPML Estimation with HDFE
hdfeppml_int | PPML Estimation with HDFE
iceberg | Iceberg Lasso Implementation (in development)
manyouter | Many Outer Products
mlfitppml | General Penalized PPML Estimation
mlfitppml_int | General Penalized PPML Estimation
penhdfeppml | One-Shot Penalized PPML Estimation with HDFE
penhdfeppml_cluster | Plugin Lasso Estimation
penhdfeppml_cluster_int | Plugin Lasso Estimation
penhdfeppml_int | One-Shot Penalized PPML Estimation with HDFE
plugin_lasso_int | Iceberg Lasso Implementation (in development)
select_fes | Filtering fixed effect lists
standardize_wt | Weighted Standardization
trade | International trade agreements data set
xeex | XeeX Matrix Computation
xvalidate | Implementing Cross Validation