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penppml
View on CRAN: Click
here
Download and install penppml package within the R console
Install from CRAN:
install.packages("penppml")
Install from Github:
library("remotes")
install_github("cran/penppml")
Install by package version:
library("remotes")
install_version("penppml", "0.2.3")
Attach the package and use:
library("penppml")
Maintained by
Joao Cruz
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-09-09
Latest Update: 2023-04-22
Description:
A set of tools that enables efficient estimation of penalized
Poisson Pseudo Maximum Likelihood regressions, using lasso or ridge penalties, for models
that feature one or more sets of high-dimensional fixed effects. The methodology is based on
Breinlich, Corradi, Rocha, Ruta, Santos Silva, and Zylkin (2021)
and takes advantage of the method of alternating projections of Gaure (2013)
for dealing with HDFE, as well as
the coordinate descent algorithm of Friedman, Hastie and Tibshirani (2010)
for fitting lasso regressions. The package is also able to carry out
cross-validation and to implement the plugin lasso of Belloni, Chernozhukov, Hansen and Kozbur (2016)
.
How to cite:
Joao Cruz (2021). penppml: Penalized Poisson Pseudo Maximum Likelihood Regression. R package version 0.2.3, https://cran.r-project.org/web/packages/penppml
Previous versions and publish date:
Other packages that cited penppml R package
View penppml citation profile
Other R packages that penppml depends,
imports, suggests or enhances
Functions, R codes and Examples using
the penppml R package
Some associated functions: AtA . bootstrap . cluster_matrix . collinearity_check . compute_fes . countries . eigenMatMult . fastolsCpp . fastridge . fastridgeCpp . faststddev . fastwmean . genfes . genmodel . hdfeppml . hdfeppml_int . iceberg . manyouter . mlfitppml . mlfitppml_int . penhdfeppml . penhdfeppml_cluster . penhdfeppml_cluster_int . penhdfeppml_int . penppml-package . pipe . plugin_lasso_int . select_fes . standardize_wt . trade . xeex . xvalidate .
Some associated R codes: RcppExports.R . bootstrap.R . data.R . hdfeppml_int.R . iceberg.R . mlfitppml_int.R . penhdfeppml_cluster_int.R . penhdfeppml_int.R . penppml-package.R . utils-pipe.R . utils.R . wrappers.R . xvalidate.R . Full penppml package functions and examples
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