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bpnreg  

Bayesian Projected Normal Regression Models for Circular Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("bpnreg", "2.0.3")



Attach the package and use:
library("bpnreg")
Maintained by
Jolien Cremers
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-02-27
Latest Update: 2021-08-06
Description:
Fitting Bayesian multiple and mixed-effect regression models for circular data based on the projected normal distribution. Both continuous and categorical predictors can be included. Sampling from the posterior is performed via an MCMC algorithm. Posterior descriptives of all parameters, model fit statistics and Bayes factors for hypothesis tests for inequality constrained hypotheses are provided. See Cremers, Mulder & Klugkist (2018) and Nu
How to cite:
Jolien Cremers (2018). bpnreg: Bayesian Projected Normal Regression Models for Circular Data. R package version 2.0.3, https://cran.r-project.org/web/packages/bpnreg. Accessed 21 Nov. 2024.
Previous versions and publish date:
1.0.0 (2018-02-27 18:16), 1.0.1 (2019-11-05 14:20), 1.0.2 (2019-12-08 14:20), 1.0.3 (2020-02-04 20:30), 2.0.0 (2021-03-02 16:10), 2.0.1 (2021-03-23 10:10), 2.0.2 (2021-08-06 10:20)
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