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NAP  

Non-Local Alternative Priors in Psychology
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("NAP", "1.1")



Attach the package and use:
library("NAP")
Maintained by
Sandipan Pramanik
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-11-04
Latest Update: 2022-01-06
Description:
Conducts Bayesian Hypothesis tests of a point null hypothesis against a two-sided alternative using Non-local Alternative Prior (NAP) for one- and two-sample z- and t-tests (Pramanik and Johnson, 2022). Under the alternative, the NAP is assumed on the standardized effects size in one-sample tests and on their differences in two-sample tests. The package considers two types of NAP densities: (1) the normal moment prior, and (2) the composite alternative. In fixed design tests, the functions calculate the Bayes factors and the expected weight of evidence for varied effect size and sample size. The package also provides a sequential testing framework using the Sequential Bayes Factor (SBF) design. The functions calculate the operating characteristics (OC) and the average sample number (ASN), and also conducts sequential tests for a sequentially observed data.
How to cite:
Sandipan Pramanik (2021). NAP: Non-Local Alternative Priors in Psychology. R package version 1.1, https://cran.r-project.org/web/packages/NAP. Accessed 21 Nov. 2024.
Previous versions and publish date:
1.0 (2021-11-04 08:10)
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