Title: Density Estimation with a Penalized Mixture Approach
Packaged: 2010-02-10 20:16:11 UTC; cschellhase

Description: Estimation of univariate (conditional) densities using penalized B-splines with automatic selection of optimal smoothing parameter.
Packaged: 2016-03-13 11:05:38 UTC; cschellhase

Packaged: 2019-04-07 21:11:37 UTC; christian

Packaged: 2010-06-22 09:13:02 UTC; cschellhase

Packaged: 2013-02-22 09:29:55 UTC; cschellhase

Packaged: 2014-01-21 10:12:43 UTC; cschellhase

Packaged: 2014-02-25 12:29:38 UTC; cschellhase

Packaged: 2015-04-08 08:57:48 UTC; cschellhase

Packaged: 2016-03-01 08:45:34 UTC; cschellhase

Packaged: 2009-10-27 13:09:38 UTC; cschellhase

Title: Single- And Multiple-Group Penalized Factor Analysis
Description: Fits single- and multiple-group penalized factor analysis models
via a trust-region algorithm with integrated automatic multiple tuning
Available penalties include lasso, adaptive lasso, scad, mcp, and ridge.
Imports: MASS, methods, mgcv, GJRM, stats, trust, utils
Suggests: cartography, knitr, plotly, rmarkdown
Packaged: 2021-07-11 17:59:23 UTC; egeminiani
Author: Elena Geminiani [aut, cre] (<https://orcid.org/0000-0001-5992-9728>),

Packaged: 2021-07-15 06:41:38 UTC; egeminiani

Title: Penalized Poisson Pseudo Maximum Likelihood Regression
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) <http://hdl.handle.net/10986/35451>
and takes advantage of the method of alternating projections of Gaure (2013)
<doi:10.1016/j.csda.2013.03.024> for dealing with HDFE, as well as
the coordinate descent algorithm of Friedman, Hastie and Tibshirani (2010)
<doi:10.18637/jss.v033.i01> 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)
Imports: Rcpp, glmnet, lfe, ncvreg, tidyr, rlang, magrittr
Suggests: testthat (>= 3.0.0), MASS, knitr, rmarkdown, directlabels,