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
Making Structural Equation Modeling (SEM) in R quick & powerful
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.
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`
R Package for the Analysis and Visualization of Circumplex Data
PsychTopics – A Shiny App for Exploring and Analyzing Research Topics in Psychology
R package with functions to improve research workflow https://hauselin.github.io/hausekeep/
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)
`powerly` is an R package for conducting sample size analysis for network models and more.
Data and code required to reproduce all analyses reported in our manuscript, Time spent playing video games is unlikely to impact well-being (Vuorre, Johannes, Magnusson, & Przybylski, 2021).
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