Other packages > Find by keyword >

lassopv  

Nonparametric P-Value Estimation for Predictors in Lasso
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("lassopv", "0.2.0")



Attach the package and use:
library("lassopv")
Maintained by
Lingfei Wang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-01-21
Latest Update: 2018-02-22
Description:
Estimate the p-values for predictors x against target variable y in lasso regression, using the regularization strength when each predictor enters the active set of regularization path for the first time as the statistic. This is based on the assumption that predictors (of the same variance) that (first) become active earlier tend to be more significant. Three null distributions are supported: normal and spherical, which are computed separately for each predictor and analytically under approximation, which aims at efficiency and accuracy for small p-values.
How to cite:
Lingfei Wang (2017). lassopv: Nonparametric P-Value Estimation for Predictors in Lasso. R package version 0.2.0, https://cran.r-project.org/web/packages/lassopv. Accessed 26 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:51), 0.1.1 (2017-01-21 02:07), 0.1.3 (2017-02-08 12:46)
Other packages that cited lassopv R package
View lassopv citation profile
Other R packages that lassopv depends, imports, suggests or enhances
Complete documentation for lassopv
Functions, R codes and Examples using the lassopv R package
Some associated functions: lassopv-package . lassopv . 
Some associated R codes: lassopv.R .  Full lassopv package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

PCADSC  
Tools for Principal Component Analysis-Based Data Structure Comparisons
A suite of non-parametric, visual tools for assessing differences in data structures for two datase ...
Download / Learn more Package Citations See dependency  
RCytoGPS  
Using Cytogenetics Data in R
Defines classes and methods to process text-based cytogenetics using the CytoGPS web site, then imp ...
Download / Learn more Package Citations See dependency  
clinUtils  
General Utility Functions for Analysis of Clinical Data
Utility functions to facilitate the import, the reporting and analysis of clinical data. Example ...
Download / Learn more Package Citations See dependency  
leafgl  
High-Performance 'WebGl' Rendering for Package 'leaflet'
Provides bindings to the 'Leaflet.glify' JavaScript library which extends the 'leaflet' JavaScript l ...
Download / Learn more Package Citations See dependency  
ncodeR  
Techniques for Automated Classifiers
A set of techniques that can be used to develop, validate, and implement automated classifiers. A po ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  

28,332

R Packages

239,283

Dependencies

75,113

Author Associations

28,333

Publication Badges

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