Package: psycModel 0.5.0.9000

psycModel: Integrated Toolkit for Psychological Analysis and Modeling in R

A beginner-friendly R package for modeling in psychology or related field. It allows fitting models, plotting, checking goodness of fit, and model assumption violations all in one place. It also produces beautiful and easy-to-read output.

Authors:Jason Moy [aut, cre]

psycModel_0.5.0.9000.tar.gz
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psycModel.pdf |psycModel.html✨
psycModel/json (API)
NEWS

# Install 'psycModel' in R:
install.packages('psycModel', repos = c('https://jasonmoy28.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/jasonmoy28/psycmodel/issues

Datasets:

On CRAN:

5.78 score 4 stars 15 scripts 343 downloads 32 exports 65 dependencies

Last updated 3 months agofrom:c9800ea193. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 04 2024
R-4.5-winNOTENov 04 2024
R-4.5-linuxNOTENov 04 2024
R-4.4-winNOTENov 04 2024
R-4.4-macNOTENov 04 2024
R-4.3-winNOTENov 04 2024
R-4.3-macNOTENov 04 2024

Exports:%>%anova_plotAPIM_semAPIM_tablecfa_groupwisecfa_summarycoefficent_to_pcompare_fitcor_testcronbach_alphadescriptive_tableefa_summaryglm_modelglm_model_explorehtml_to_pdfinteraction_plotknit_to_Rmdlm_modellm_model_explorelm_model_summarylm_model_tablelme_model_explorelme_model_tablemeasurement_invariancemediationmediation_summarymodel_summarypolynomial_regression_plotprint_tablereliability_summarysimple_slopesuper_print

Dependencies:bayestestRbootcarDataclicolorspacecpp11datawizardDBIdplyreffectsestimabilityfansifarvergenericsggplot2glueGPArotationgtableinsightisobandlabelinglatticelavaanlifecyclelme4lmerTestmagrittrMASSMatrixmgcvminqamitoolsmnormtmunsellnlmenloptrnnetnumDerivparameterspatchworkpbivnormperformancepillarpkgconfigpsychpurrrquadprogR6RColorBrewerRcppRcppArmadilloRcppEigenrlangscalesstringistringrsurveysurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithr

brief-introduction-to-select-syntax

Rendered frombrief-introduction-to-select-syntax.Rmdusingknitr::rmarkdownon Nov 04 2024.

Last update: 2021-04-20
Started: 2021-04-20

quick-introduction

Rendered fromquick-introduction.Rmdusingknitr::rmarkdownon Nov 04 2024.

Last update: 2023-12-18
Started: 2021-04-13

Readme and manuals

Help Manual

Help pageTopics
Acitelliacitelli
ANOVA Plotanova_plot
APIM Actor-Partner Interdependence Model (SEM)APIM_sem
APIM Actor-Partner Interdependence Model Table with Multiple ModeratorsAPIM_table
Confirmatory Factor Analysis (groupwise)cfa_groupwise
Confirmatory Factor Analysiscfa_summary
Comparison of Model Fitcompare_fit
Correlation tablecor_test
Cronbach alphacronbach_alpha
Descriptive Statistics Tabledescriptive_table
Exploratory Factor Analysisefa_summary
get interaction termget_interaction_term
get factor df to combine with mean_dfget_predict_df
Generalized Linear Regressionglm_model
Exploratory Linear Regression Model Tableglm_model_explore
Convert HTML to PDFhtml_to_pdf
Interaction plotinteraction_plot
Knit Rmd Files Instructionknit_to_Rmd
get label namelabel_name
Linear Regressions / ANOVA / ANCOVAlm_model
Exploratory Linear Regression Model Tablelm_model_explore
Model Summary for Linear Regressionlm_model_summary
Linear Regression Model Tablelm_model_table
Exploratory Linear Mixed Effect Model Tablelme_model_explore
Linear Mixed Effect Model Tablelme_model_table
Measurement Invariancemeasurement_invariance
Mediation analysis A Monte Carlo simulation method to assess mediation based on Selig & Preacher (2008).mediation
Mediation Analysismediation_summary
Model Summary for Regression Modelsmodel_summary
Polynomial Regression Plotpolynomial_regression_plot
Popular datasetpopular
Reliability Analysisreliability_summary
Slope Estimate at Varying Level of Moderatorssimple_slope
Three-way Interaction Plotthree_way_interaction_plot
Two-way Interaction Plottwo_way_interaction_plot