CircGLMBayes

K.T. Mulder

CircGLMBayes

K.T. Mulder

Research output: Non-textual form › Software › Other research output

Abstract

R Package for a Bayesian Circular GLM

This package contains functions to perform a Bayesian circular GLM, which allows regressing a circular outcome on linear and categorical predictors.

Original language	English
Publication status	Published - 1 Aug 2017

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@misc{937cec7927724c00aa540495bd0a5ff2,

title = "CircGLMBayes",

abstract = "R Package for a Bayesian Circular GLMThis package contains functions to perform a Bayesian circular GLM, which allows regressing a circular outcome on linear and categorical predictors.",

author = "K.T. Mulder",

year = "2017",

month = aug,

day = "1",

language = "English",

}

TY - ADVS

T1 - CircGLMBayes

AU - Mulder, K.T.

PY - 2017/8/1

Y1 - 2017/8/1

N2 - R Package for a Bayesian Circular GLMThis package contains functions to perform a Bayesian circular GLM, which allows regressing a circular outcome on linear and categorical predictors.

AB - R Package for a Bayesian Circular GLMThis package contains functions to perform a Bayesian circular GLM, which allows regressing a circular outcome on linear and categorical predictors.

UR - http://github.com/keesmulder/CircGLMBayes

M3 - Software

ER -

CircGLMBayes

Abstract

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