Other packages > Find by keyword >

PLRModels  

Statistical Inference in Partial Linear Regression Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("PLRModels", "1.4")



Attach the package and use:
library("PLRModels")
Maintained by
Ana Lopez-Cheda
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-06-26
Latest Update: 2023-08-19
Description:
Contains statistical inference tools applied to Partial Linear Regression (PLR) models. Specifically, point estimation, confidence intervals estimation, bandwidth selection, goodness-of-fit tests and analysis of covariance are considered. Kernel-based methods, combined with ordinary least squares estimation, are used and time series errors are allowed. In addition, these techniques are also implemented for both parametric (linear) and nonparametric regression models.
How to cite:
Ana Lopez-Cheda (2013). PLRModels: Statistical Inference in Partial Linear Regression Models. R package version 1.4, https://cran.r-project.org/web/packages/PLRModels. Accessed 05 Aug. 2026.
Previous versions and publish date:
(2026-07-09 08:16), 1.0 (2013-06-26 18:08), 1.1 (2014-01-01 21:38), 1.2 (2022-07-14 12:40), 1.3 (2023-07-03 00:40)
Other packages that cited PLRModels R package
View PLRModels citation profile
Other R packages that PLRModels depends, imports, suggests or enhances
Complete documentation for PLRModels
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

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  
kernelPSI  
Post-Selection Inference for Nonlinear Variable Selection
Different post-selection inference strategies for kernelselection as described in kernelPSI a Post-S ...
Download / Learn more Package Citations See dependency  
dcov  
A Fast Implementation of Distance Covariance
Efficient methods for computing distance covariance and relevant statistics. See Sz ...
Download / Learn more Package Citations See dependency  
noisyr  
Noise Quantification in High Throughput Sequencing Output
Quantifies and removes technical noise from high-throughput sequencing data. Two approaches are use ...
Download / Learn more Package Citations See dependency  
dhReg  
Dynamic Harmonic Regression
Building and forecasting time series data with multiple seasonality using Dynamic Harmonic Regressio ...
Download / Learn more Package Citations See dependency  

28,083

R Packages

239,283

Dependencies

74,457

Author Associations

28,084

Publication Badges

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