GPArotation: Gradient Projection Factor Rotation

Canonical link: https://scholar.rpkg.net/pkg/GPArotation

Coen Bernaards • Paul Gilbert • Robert Jennrich • View description and downloads View dependencies GitHub project

2005 Published

2024.3-1 Version

0 Citations

3 Authors

Referenced by ⇅	Year
DCA: Dynamic Correlation Analysis for High Dimensional Data (Version 2.0)	2017
Compind: Composite Indicators Functions (Version 3.1)	2014
EFA.dimensions: Exploratory Factor Analysis Functions for Assessing Dimensionality (Version 0.1.8.1)	2020
EFAutilities: Utility Functions for Exploratory Factor Analysis (Version 2.1.3)	2016
EFAtools: Fast and Flexible Implementations of Exploratory Factor Analysis Tools (Version 0.4.4)	2020
EGAnet: Exploratory Graph Analysis – a Framework for Estimating the Number of Dimensions in Multivariate Data using Network Psychometrics (Version 2.0.5)	2019
EMMAgeo: End-Member Modelling of Grain-Size Data (Version 0.9.7)	2013
FinTS: Companion to Tsay (2005) Analysis of Financial Time Series (Version 0.4-9)	2007
GPArotateDF: Derivative Free Gradient Projection Factor Rotation (Version 2023.11-1)	2022
JWileymisc: Miscellaneous Utilities and Functions (Version 1.4.1)	2016
MultBiplotR: Multivariate Analysis Using Biplots in R (Version 23.11.0)	2021
PCovR: Principal Covariates Regression (Version 2.7.2)	2013
REMLA: Robust Expectation-Maximization Estimation for Latent Variable Models (Version 1.0)	2024
REdaS: Companion Package to the Book 'R: Einführung durch angewandte Statistik' (Version 0.9.4)	2014
RSP: 'shiny' Applications for Statistical and Psychometric Analysis (Version 0.4)	2023
TAM: Test Analysis Modules (Version 4.2-21)	2013
bruceR: Broadly Useful Convenient and Efficient R Functions (Version 2023.9)	2021
brxx: Bayesian Test Reliability Estimation (Version 0.1.2)	2020
cdmTools: Useful Tools for Cognitive Diagnosis Modeling (Version 1.0.5)	2021
ecostats: Code and Data Accompanying the Eco-Stats Text (Warton 2022) (Version 1.1.11)	2020
epca: Exploratory Principal Component Analysis (Version 1.1.0)	2020
esem: Exploratory Structural Equation Modeling ESEM (Version 2.0.0)	2023
fungible: Psychometric Functions from the Waller Lab (Version 2.4.4)	2015
jmv: The 'jamovi' Analyses (Version 2.4.11)	2017
kfa: K-Fold Cross Validation for Factor Analysis (Version 0.2.2)	2021
lsirm12pl: Latent Space Item Response Model (Version 1.3.1)	2022
mirt: Multidimensional Item Response Theory (Version 1.41)	2011
mirtjml: Joint Maximum Likelihood Estimation for High-Dimensional Item Factor Analysis (Version 1.4.0)	2018
mirtsvd: SVD-Based Estimation for Exploratory Item Factor Analysis (Version 1.0)	2020
netCoin: Interactive Analytic Networks (Version 2.0.48)	2016
parameters: Processing of Model Parameters (Version 0.21.6)	2019
psycModel: Integrated Toolkit for Psychological Analysis and Modeling in R (Version 0.5.0)	2021
psych: Procedures for Psychological, Psychometric, and Personality Research (Version 2.4.3)	2007
psychTools: Tools to Accompany the 'psych' Package for Psychological Research (Version 2.4.3)	2019
psycho: Efficient and Publishing-Oriented Workflow for Psychological Science (Version 0.6.1)	2017
radiant.multivariate: Multivariate Menu for Radiant: Business Analytics using R and Shiny (Version 1.6.1)	2016
rosetta: Parallel Use of Statistical Packages in Teaching (Version 0.3.12)	2019
semTools: Useful Tools for Structural Equation Modeling (Version 0.5-6)	2012
sjPlot: Data Visualization for Statistics in Social Science (Version 2.8.15)	2013
ufs: A Collection of Utilities (Version 0.5.12)	2018
umx: Structural Equation Modeling and Twin Modeling in R (Version 4.20.0)	2015
vampyr: Factor Analysis Controlling the Effects of Response Bias (Version 1.1.1)	2020
whomds: Calculate Results from WHO Model Disability Survey Data (Version 1.1.1)	2021

RPKG Scholar presents a tabulation of an author's contribution in the development of R packages stored in the Comprehensive R Archive Network (CRAN). Within this site, we consider package dependencies (suggests,imports,depends,enhances) as citations because we believe that using one's package to develop another is tantamount to citing the author of the package being imported, suggested or enhanced.