An R package for experimental psychologists
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Updated
Feb 18, 2024 - R
An R package for experimental psychologists
Repository for the OpenMx Structural Equation Modeling package
Psychometric meta-analysis toolkit
Package of convenience functions to make your workflow faster and easier. Easily customizable plots (via ggplot2), nice APA tables exportable to Word (via flextable), easily run statistical tests or check assumptions, and automatize various other tasks.
Making Structural Equation Modeling (SEM) in R quick & powerful
An R Package and Shiny App for generating matched stimuli for factiorial-design experiments.
An R Toolbox for Psychologists, Neuropsychologists and Neuroscientists.
Formal Psychological Models of Categorization and Learning
R package for dealing with Eprime txt files
🔜 Integrative Toolbox of Word Embedding Research for Psychological Science.
Data science for psychologists (ds4psy): R package supporting book and course
Convenience Functions for Package `lavaan`
PsychTopics – A Shiny App for Exploring and Analyzing Research Topics in Psychology
R Package for the Analysis and Visualization of Circumplex Data
R package with functions to improve research workflow https://hauselin.github.io/hausekeep/
`powerly` is an R package for conducting sample size analysis for network models and more.
Code and subset of data for "An exploratory analysis of emotion dynamics between mothers and adolescents during conflict discussions" (Main, Paxton, & Dale, 2016, Emotion).
R package to conduct mediation analysis using joint significance.
Implements an n-dimensional parameter space partitioning algorithm for evaluating the global behaviour of formal computational models as described by Pitt, Kim, Navarro and Myung (2006)
This is a companion R package for the book "Basic & Advanced Psychometrics in R"[Work in Progress]
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