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pretest  

A Novel Approach to Predictive Accuracy Testing in Nested Environments
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("pretest", "0.2")



Attach the package and use:
library("pretest")
Maintained by
Rong Peng
[Scholar Profile | Author Map]
First Published: 2023-10-19
Latest Update: 2023-10-19
Description:
This repository contains the codes for using the predictive accuracy comparison tests developed in Pitarakis, J. (2023) .
How to cite:
Rong Peng (2023). pretest: A Novel Approach to Predictive Accuracy Testing in Nested Environments. R package version 0.2, https://cran.r-project.org/web/packages/pretest. Accessed 06 Apr. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited pretest R package
View pretest citation profile
Other R packages that pretest depends, imports, suggests or enhances
Complete documentation for pretest
Functions, R codes and Examples using the pretest R package
Some associated functions: Nested_Stats_S0 . Nested_Stats_Sbar . dm_cw . lr_var . recursive_hstep_fast . recursive_hstep_slow . 
Some associated R codes: Nested_Stats_S0.R . Nested_Stats_Sbar.R . dm_cw.R . lrvar.R . recursivehstep.R . recursivehstep2.R .  Full pretest package functions and examples
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