Within-Subject Mediation Analysis Using Structural Equation Modeling

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Documentation for package ‘wsMed’ version 1.2.0

• DESCRIPTION file
• User guides, package vignettes and other documentation
• Package NEWS
• Package README

Help Pages

as.data.frame.wsmed_results	Methods for modular wsMed objects
coef.wsMed	Methods for modular wsMed objects
coef.wsmed_fit	Methods for modular wsMed objects
coef.wsmed_inference	Methods for modular wsMed objects
coef.wsmed_results	Methods for modular wsMed objects
confint.wsMed	Methods for modular wsMed objects
confint.wsmed_fit	Methods for modular wsMed objects
confint.wsmed_inference	Methods for modular wsMed objects
confint.wsmed_results	Methods for modular wsMed objects
example_data	Simulated data for mediation tutorials
GenerateModelCN	Generate a serial mediation model
GenerateModelCP	Generate a serial-parallel mediation model
GenerateModelCustom	Generate a user-defined mediation model
GenerateModelP	Generate a parallel mediation model
GenerateModelPC	Generate a parallel-serial mediation model
ImputeData	Impute missing data using multiple imputation
MCMI2	Monte Carlo confidence intervals for multiple imputation SEM models
nobs.wsMed	Methods for modular wsMed objects
nobs.wsmed_fit	Methods for modular wsMed objects
nobs.wsmed_inference	Methods for modular wsMed objects
plot.wsMed	Plot mediation effects from workflow objects
plot.wsmed_fit	Plot mediation effects from workflow objects
plot.wsmed_inference	Plot mediation effects from workflow objects
plot.wsmed_results	Plot mediation effects from workflow objects
plot_conditional_effects	Plot conditional effects at moderator levels
plot_contrasts	Plot differences between mediation effects
plot_effects	Forest plot of mediation effects
plot_moderation_curve	Plot conditional effects across a continuous moderator
PrepareData	Prepare data for two-condition mediation
PrepareMissingData	Prepare data with missing values for mediation analysis
print.summary_wsmed	Methods for modular wsMed objects
print.summary_wsmed_fit	Methods for modular wsMed objects
print.wsMed	Methods for modular wsMed objects
print.wsmed_fit	Methods for modular wsMed objects
print.wsmed_inference	Methods for modular wsMed objects
print.wsmed_model	Methods for modular wsMed objects
print.wsmed_results	Methods for modular wsMed objects
printGM	Print formatted SEM model syntax
standardize_moderation	Standardize conditional mediation results using existing joint draws
summary.summary_wsmed	Methods for modular wsMed objects
summary.wsMed	Methods for modular wsMed objects
summary.wsmed_fit	Methods for modular wsMed objects
summary.wsmed_inference	Methods for modular wsMed objects
summary.wsmed_results	Methods for modular wsMed objects
vcov.wsMed	Methods for modular wsMed objects
vcov.wsmed_fit	Methods for modular wsMed objects
vcov.wsmed_inference	Methods for modular wsMed objects
vcov.wsmed_results	Methods for modular wsMed objects
wsMed	Analyze two-condition within-subject mediation
wsmed_categorical	Categorical predictors and supported variable types
wsmed_contrasts	Contrast effects using their joint stored draws
wsmed_effects	Extract effects from fitted models or stored inference
wsmed_examples	Data for the manuscript examples
wsmed_fit	Fit a specified mediation model without simulation
wsmed_infer	Apply uncertainty quantification to an existing fit
wsmed_inspect	Inspect a modular workflow without recomputation
wsmed_methods	Methods for modular wsMed objects
wsmed_model	Specify a two-condition mediation model
wsmed_plots	Plot mediation effects from workflow objects
wsmed_reproducibility	Export the settings and provenance of an analysis