Other packages > Find by keyword >

PAmeasures  

Prediction and Accuracy Measures for Nonlinear Models and for Right-Censored Time-to-Event Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("PAmeasures", "0.1.0")



Attach the package and use:
library("PAmeasures")
Maintained by
Xiaoyan Wang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-01-22
Latest Update: 2018-01-22
Description:
We propose a pair of summary measures for the predictive power of a prediction function based on a regression model. The regression model can be linear or nonlinear, parametric, semi-parametric, or nonparametric, and correctly specified or mis-specified. The first measure, R-squared, is an extension of the classical R-squared statistic for a linear model, quantifying the prediction function's ability to capture the variability of the response. The second measure, L-squared, quantifies the prediction function's bias for predicting the mean regression function. When used together, they give a complete summary of the predictive power of a prediction function. Please refer to Gang Li and Xiaoyan Wang (2016) for more details.
How to cite:
Xiaoyan Wang (2018). PAmeasures: Prediction and Accuracy Measures for Nonlinear Models and for Right-Censored Time-to-Event Data. R package version 0.1.0, https://cran.r-project.org/web/packages/PAmeasures. Accessed 05 Mar. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited PAmeasures R package
View PAmeasures citation profile
Other R packages that PAmeasures depends, imports, suggests or enhances
Complete documentation for PAmeasures
Functions, R codes and Examples using the PAmeasures R package
Some associated functions: moore . pam.censor . pam.coxph . pam.nlm . pam.survreg . 
Some associated R codes: moore.R . pam.censor.R . pam.coxph.R . pam.nlm.R . pam.survreg.R .  Full PAmeasures package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

imagefx  
Extract Features from Images
Synthesize images into characteristic features for time-series analysis or machine learning applicat ...
Download / Learn more Package Citations See dependency  
neat  
Efficient Network Enrichment Analysis Test
Includes functions and examples to compute NEAT, the Network Enrichment Analysis Test described in ...
Download / Learn more Package Citations See dependency  
roccv  
ROC for Cross Validation Results
Cross validate large genetic data while specifying clinical variables that should always be in the m ...
Download / Learn more Package Citations See dependency  
ClimClass  
Climate Classification According to Several Indices
Classification of climate according to Koeppen - Geiger, of aridity indices, of continentality indi ...
Download / Learn more Package Citations See dependency  
pinp  
'pinp' is not 'PNAS'
A 'PNAS'-alike style for 'rmarkdown', derived from the 'Proceedings of the National Academy of Scie ...
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  

26,264

R Packages

223,360

Dependencies

70,244

Author Associations

26,265

Publication Badges

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