bpnreg: bpnreg: A package to analyze Bayesian projected normal...

In bpnreg: Bayesian Projected Normal Regression Models for Circular Data

Description

This package contains functions to analyze circular regression type models (multivariate and mixed-effects). It is based on the 'embedding' approach to circular modelling and makes use of the projected normal distribution. Its estimation method is a Bayesian MCMC sampler. Further technical details can be found in Cremers, Mulder & Klugkist (2018) and Cremers & Klugkist (2018).

Details

A tutorial on how to use this package can be found in Cremers & Klugkist (2018). More details on the sampling algorithm and interpretation of the coefficients from the model can be found in Cremers, Mulder & Klugkist (2018), Nuñez-Antonio & Gutiérrez-Peña, Cremers, Mainhard & Klugkist (2018) and Cremers, Pennings, Mainhard & Klugkist (2019).

Functions

The main functions of the package are:

bpnr, which runs an MCMC sampler in C++ and returns an S3 object of type bpnr, which can be further analyzed through associated functions.

bpnme, which runs an MCMC sampler in R and returns an S3 object of type bpnme, which can be further analyzed through associated functions.

Datasets

Datasets included in this package are:

Motor, A dataset from a study by Puglisi et.al. (2017) on the role of attention in human motor resonance.

Maps, A dataset from a study by Warren et.al. (2017) on the geometry of human knowledge of navigation space.

Source

Cremers, J., Pennings, H.J.M., Mainhard, M.T. & Klugkist, I. (2019). Circular Modelling of Circumplex Measurements for Interpersonal Behavior. Assessment.

Cremers, J., Mulder, K.T. & Klugkist, I. (2018). Circular interpretation of regression coefficients. British Journal of Mathematical and Statistical Psychology, 71(1), 75-95.

Cremers, J., Mainhard, M.T. & Klugkist, I. (2018). Assessing a Bayesian Embedding Approach to Circular Regression Models. Methodology, 14, 69-81.

Cremers, J. & Klugkist, I. (2018). One direction? A tutorial for circular data with examples in cognitive psychology. Frontiers in Psychology: Cognitive Science.

Nuñez-Antonio, G. & Gutiérrez-Peña, E. (2014). A Bayesian model for longitudinal circular data based on the projected normal distribution. Computational Statistics and Data Analysis, 71, 506-519.

bpnreg documentation built on Aug. 6, 2021, 9:07 a.m.