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RPtests
View on CRAN: Click
here
Download and install RPtests package within the R console
Install from CRAN:
install.packages("RPtests")
Install from Github:
library("remotes")
install_github("cran/RPtests")
Install by package version:
library("remotes")
install_version("RPtests", "0.1.5")
Attach the package and use:
library("RPtests")
Maintained by
Rajen Shah
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-06-20
Latest Update: 2021-07-10
Description:
Performs goodness of fits tests for both high and low-dimensional linear models.
It can test for a variety of model misspecifications including nonlinearity and heteroscedasticity.
In addition one can test the significance of potentially large groups of variables, and also
produce p-values for the significance of individual variables in high-dimensional linear
regression.
How to cite:
Rajen Shah (2016). RPtests: Goodness of Fit Tests for High-Dimensional Linear Regression Models. R package version 0.1.5, https://cran.r-project.org/web/packages/RPtests. Accessed 06 Nov. 2024.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for RPtests
Functions, R codes and Examples using
the RPtests R package
Some associated functions: RPtest . RPtest_single . pval . sparse_proj . sqrt_lasso .
Some associated R codes: RPtest.R . RPtest_single.R . RcppExports.R . projections.R . pvals.R . resid_gen.R . sqrt_lasso.R . test_funcs.R . Full RPtests package functions and examples
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