RunContrasts

type of contrast: "m" indicate means and standard deviations, "o" indicate frequency

contrast.type

Number of levels of each variable/column

q.levels

choose from "between", "within" and "mixed". Between compare groups at different conditions. Within compare a group at different conditions. Mixed compute all comparisons

use.contrast

contrasts

data

names of all parameters in analysis, Default: NULL

job.names

Compute contrasts from mean and standard deviation (Cohen's d) or frequencies (odds ratio)

Derived from the work of Kruschke (2015,
<ISBN:9780124058880>), the present package aims to provide a framework
for conducting Bayesian analysis using Markov chain Monte Carlo (MCMC)
sampling utilizing the Just Another Gibbs Sampler ('JAGS', Plummer,
2003, <https://mcmc-jags.sourceforge.io>). The initial version
includes several modules for conducting Bayesian equivalents of
chi-squared tests, analysis of variance (ANOVA), multiple
(hierarchical) regression, softmax regression, and for fitting data
(e.g., structural equation modeling).

RunContrasts: Run Contrasts

Description

Usage

Arguments

See Also