DESCRIPTION

Package: PCMforR
Type: Package
Title: Pattern Component Modelling for R
Version: 0.1.0
Date: 2021-02-09
Authors@R: c(
      person(given = "James H.", 
             family = "Krylywy", 
             role = c("aut"),
             email = "james.kryklywy@gmail.com"),
      person(given = "Brandon J.",
             family = "Forys",
             role = c("aut", "cre"),
             email = "brandon.forys@alumni.ubc.ca"),
      person(given = "Rebecca M.",
             family = "Todd",
             role = c("aut", "rth"),
             email = "becket.todd@psych.ubc.ca"))
Maintainer: Brandon Forys <brandon.forys@alumni.ubc.ca>
Description: This package allows you to easily conduct a Pattern
    Component Modelling (PCM) analysis on Representational Similarity
    Analysis (RSA) data (e.g. from functional brain imaging data) in
    R. PCM allows you to take a set of hypothetical structures - Independent
    Pattern Components, or IPCs - by which data might be represented in a given 
    brain region - and compare these structures to your data to determine which
    hypothesis best fits your data using a Bayesian Information Criterion (BIC)
    metric. For any additional question on functionality and use, please contact: 
    j.kryklywy[at]psych.ubc.ca
License: MIT
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Roxygen: list(markdown = TRUE)