Multimodal Mediation Analysis

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Documentation for package ‘multimedia’ version 0.2.0

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

Help Pages

ansi_aware_handler	Pretty Printing
bind_mediation	Convert 'mediation_data' to a single data.frame
bootstrap	Bootstrap Distribution for Estimators
brms_model	Bayesian Regression Model across Responses
brms_sampler	Sample from a Bayesian Regression Model
contrast_predictions	Estimate the Difference between Profiles
contrast_samples	Difference between Samples at Contrasting Profiles
demo_joy	A Demo Dataset (Random)
demo_spline	A Demo Dataset (Spline)
direct_effect	Direct Effects from Estimated Model
edges	Graphical Structure for Mediation Objects
edges-method	Access Mediation Model DAG
effect_summary	Average Effects across j
estimate	Estimate a Mediation Model
estimator	Accessor for Model Estimators
estimator-method	Accessor for Estimators
exper_df	Convert a Summarized Experiment to a data.frame
fdr_summary	Calibration using Synthetic Nulls
glmnet_model	Regularized 'Glmnet' Model across Responses
glmnet_sampler	Sample from a 'Glmnet' Package Model
indirect_overall	Overall Indirect Effect
indirect_pathwise	Indirect Effects via Single Mediation Paths
lm_model	Linear Model across Responses
lm_sampler	Sample a Linear Model
lnm_model	Logistic Normal Multinomial Model
lnm_sampler	Sample from the Logistic Normal Multinomial
mediation_data	'mediation_data' Constructor
mediation_models	Accessor for Outcome Models
mediators	Access Class-Specific Mediators
mediators-method	Access to @mediators in Mediation Data
mediators-method	Names of Mediators in a Multimedia Object
mediators<-	Set Mediators
mediators<--method	Set the Mediators in a Mediation Data Object
mindfulness	Mindfulness Dataset
model-class	Representation of an Outcome or Mediation Model
multimedia	'multimedia' Constructor
nrow-method	How many samples in the mediation dataset?
nullify	Nullify Active Edges
null_contrast	Compare Effects from Experimental vs. Null Mediation Data
n_mediators	Number of Mediators in a Multimedia Object
n_outcomes	Number of Outcomes in a Multimedia Object
outcomes	Access Outcomes
outcomes-method	Outcomes Data in a Mediation Data Object
outcomes-method	Names of Outcomes in a Multimedia Object
outcomes<-	Set Outcomes This is an setter method for outcomes in an S4 object, usually of class mediation_data.
outcomes<--method	Set the Outcomes in a Mediation Data Object
outcome_model	Access the Outcome Model in a Multimedia Object
outcome_models	Accessor for Outcome Models
parallelize	Parallelize Estimation across Responses
plot_mediators	Visualize Indirect Effects
plot_sensitivity	Generic Sensitivity Plot
predict-method	Predictions from a Multimedia Class
predict_across	Predict a Subset of Responses
pretreatments	Access Pretreatments
pretreatments-method	Pretreatments in a Mediation Data Object
pretreatments<-	Set Pretreatments This is an setter method for pretreatments in an S4 object, usually of class mediation_data.
pretreatments<--method	Set the Pretreatments in a Mediation Data Object
retrieve_names	Variables in a Multimedia Object
rf_model	Random Forest Model
rf_sampler	Sample from a Random Forest Model
sample-method	Sample New Mediator/Outcome Data
sensitivity	Sensitivity Analysis for Overall Indirect Effect
sensitivity_pathwise	Sensitivity Analysis for Pathwise Indirect Effects
sensitivity_perturb	Sensitivity to User-Specified Perturbations
setup_profile	Define a 'treatment_profile' object
spline_fun	Generate Random Spline
sub_formula	Helper to Modify Formulas
treatments	Access Treatments
treatments-method	Treatments in a Mediation Data Object
treatments-method	Names of Treatments in a Multimedia Object
treatments<-	Set Treatments This is an setter method for treatments in an S4 object, usually of class mediation_data.
treatments<--method	Set the Treatments in a Mediation Data Object
treatment_profile-class	Define a Treatment Profile
[-method	Subset a mediation dataset