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NAP
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]
[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
Previous versions and publish date:
1.0 (2021-11-04 08:10)
Other packages that cited NAP R package
View NAP citation profile
Other R packages that NAP depends,
imports, suggests or enhances
Functions, R codes and Examples using
the NAP R package
Some associated functions: HajnalBF_onet . HajnalBF_onez . HajnalBF_twot . HajnalBF_twoz . NAP-package . NAPBF_onet . NAPBF_onez . NAPBF_twot . NAPBF_twoz . SBFHajnal_onet . SBFHajnal_onez . SBFHajnal_twot . SBFHajnal_twoz . SBFNAP_onet . SBFNAP_onez . SBFNAP_twot . SBFNAP_twoz . fixedHajnal.onet_es . fixedHajnal.onet_n . fixedHajnal.onez_es . fixedHajnal.onez_n . fixedHajnal.twot_es . fixedHajnal.twot_n . fixedHajnal.twoz_es . fixedHajnal.twoz_n . fixedNAP.onet_es . fixedNAP.onet_n . fixedNAP.onez_es . fixedNAP.onez_n . fixedNAP.twot_es . fixedNAP.twot_n . fixedNAP.twoz_es . fixedNAP.twoz_n . implement.SBFHajnal_onet . implement.SBFHajnal_onez . implement.SBFHajnal_twot . implement.SBFHajnal_twoz . implement.SBFNAP_onet . implement.SBFNAP_onez . implement.SBFNAP_twot . implement.SBFNAP_twoz . mycombine.fixed . mycombine.seq.onesample . mycombine.seq.twosample .
Some associated R codes: NAPfunctions.R . Full NAP package functions and examples
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