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modeLLtest  

Compare Models with Cross-Validated Log-Likelihood
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("modeLLtest", "1.0.4")



Attach the package and use:
library("modeLLtest")
Maintained by
Shana Scogin
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-07-03
Latest Update: 2022-05-05
Description:
An implementation of the cross-validated difference in means (CVDM) test by Desmarais and Harden (2014) (see also Harden and Desmarais, 2011 ) and the cross-validated median fit (CVMF) test by Desmarais and Harden (2012) . These tests use leave-one-out cross-validated log-likelihoods to assist in selecting among model estimations. You can also utilize data from Golder (2010) and Joshi & Mason (2008) that are included to facilitate examples from real-world analysis.
How to cite:
Shana Scogin (2019). modeLLtest: Compare Models with Cross-Validated Log-Likelihood. R package version 1.0.4, https://cran.r-project.org/web/packages/modeLLtest. Accessed 03 Dec. 2024.
Previous versions and publish date:
1.0.0 (2019-07-03 17:10), 1.0.2 (2020-06-11 07:20), 1.0.3 (2020-08-07 09:50)
Other packages that cited modeLLtest R package
View modeLLtest citation profile
Other R packages that modeLLtest depends, imports, suggests or enhances
Complete documentation for modeLLtest
Functions, R codes and Examples using the modeLLtest R package
Some associated functions: cvdm . cvdm_object . cvll . cvll_object . cvlldiff . cvlldiff_object . cvmf . cvmf_object . govtform . modeLLtest . nepaldem . 
Some associated R codes: RcppExports.R . cvdm.R . cvll.R . cvlldiff.R . cvmf.R . govtform_data.R . modeLLtest.R . nepaldem_data.R . print.cvdm.R . print.cvll.R . print.cvlldiff.R . print.cvmf.R .  Full modeLLtest package functions and examples
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