Other packages > Find by keyword >

porridge  

Ridge-Type Penalized Estimation of a Potpourri of Models
View on CRAN: Click here


Download and install porridge package within the R console
Install from CRAN:
install.packages("porridge")

Install from Github:
library("remotes")
install_github("cran/porridge")

Install by package version:
library("remotes")
install_version("porridge", "0.3.3")



Attach the package and use:
library("porridge")
Maintained by
Wessel N. van Wieringen
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-11-01
Latest Update: 2024-02-21
Description:
The name of the package is derived from the French, 'pour' ridge, and provides functionality for ridge-type estimation of a potpourri of models. Currently, this estimation concerns that of various Gaussian graphical models from different study designs. Among others it considers the regular Gaussian graphical model and a mixture of such models. The porridge-package implements the estimation of the former either from i) data with replicated observations by penalized loglikelihood maximization using the regular ridge penalty on the parameters (van Wieringen, Chen, 2021) or ii) from non-replicated data by means of either a ridge estimator with multiple shrinkage targets (as presented in van Wieringen et al. 2020, ) or the generalized ridge estimator that allows for both the inclusion of quantitative and qualitative prior information on the precision matrix via element-wise penalization and shrinkage (van Wieringen, 2019, ). Additionally, the porridge-package facilitates the ridge penalized estimation of a mixture of Gaussian graphical models (Aflakparast et al., 2018). On another note, the package also includes functionality for ridge-type estimation of the generalized linear model (as presented in van Wieringen, Binder, 2022, ).
How to cite:
Wessel N. van Wieringen (2019). porridge: Ridge-Type Penalized Estimation of a Potpourri of Models. R package version 0.3.3, https://cran.r-project.org/web/packages/porridge. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.0.1 (2019-11-01 12:20), 0.0.2 (2019-11-13 09:40), 0.0.3 (2019-12-05 10:50), 0.0.4 (2019-12-16 08:10), 0.1.0 (2020-05-18 09:50), 0.1.1 (2021-01-11 09:50), 0.2.0 (2021-02-09 14:40), 0.2.1 (2021-04-19 14:20), 0.3.0 (2022-01-08 22:12), 0.3.1 (2022-05-20 15:20), 0.3.2 (2023-10-15 23:50)
Other packages that cited porridge R package
View porridge citation profile
Other R packages that porridge depends, imports, suggests or enhances
Complete documentation for porridge
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

composits  
Compositional, Multivariate and Univariate Time Series Outlier Ensemble
A compositional multivariate and univariate time series outlier ensemble.It uses the four R packages ...
Download / Learn more Package Citations See dependency  
elect  
Estimation of Life Expectancies Using Multi-State Models
Functions to compute state-specific and marginal life expectancies. The computation is based on a fi ...
Download / Learn more Package Citations See dependency  
wordspace  
Distributional Semantic Models in R
An interactive laboratory for research on distributional semantic models ('DSM', see < ...
Download / Learn more Package Citations See dependency  
Rfast2  
A Collection of Efficient and Extremely Fast R Functions II
A collection of fast statistical and utility functions for data analysis. Functions for regression, ...
Download / Learn more Package Citations See dependency  
dmlalg  
Double Machine Learning Algorithms
Implementation of double machine learning (DML) algorithms in R, based on Emmenegger and Buehlmann ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  

23,394

R Packages

201,798

Dependencies

63,416

Author Associations

23,395

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA