R: Mediation Analysis Using Joint Significance

# Mediation Analysis Using Joint Significance

## Documentation for package ‘JSmediation’ version 0.2.3

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

## Help Pages

add_index | Adds an indirect effect index to a fitted mediation model
add_index.moderated_mediation | add_index method for moderated mediation
add_index.simple_mediation | add_index method for simple mediation
add_index.within_participant_mediation | add_index method for within-participant mediation
apastylr | Creates an APA formatted report from a significance test
build_contrast | Builds a contrast code from character vector
check_assumptions | Test assumptions for models underlying the mediation
compute_indirect_effect_for | Compute the indirect effect index for a specific value of the moderator
display_models | Displays models from a mediation object
dohle_siegrist | Dohle and Siegrist (2014, Exp 1) illustrating within-subject analysis (long-format)
dohle_siegrist_wide | Dohle and Siegrist (2014, Exp 1) illustrating within-subject analysis (wide-format)
extract_model | Extracts a single model from a mediation_model object
extract_models | Extracts models from a mediation_model object
extract_tidy_models | Extracts models from a mediation object as a data frame
ho_et_al | Data set showing simple and moderated mediation analysis
mdt_moderated | Fits a moderated mediation model
mdt_simple | Joint-significance test for simple mediation
mdt_within | Joint-significance test for within-participant mediation
mdt_within_wide | Joint-significance test for simple mediation (wide-format input)
plot_assumptions | Returns diagnostic plots for the linear model used in a mediation
print.mediation_model | Print method for object of class 'mediation_model'
standardise_variable | Standardize variables in a data set.
standardize_variable | Standardize variables in a data set.