Package index • multimedia

All functions

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(<multimedia>): Access Mediation Model DAG

edges(): Graphical Structure for Mediation Objects

effect_summary(): Average Effects across j

estimate(): Estimate a Mediation Model

estimator(<model>): Accessor for Estimators

estimator(): Accessor for Model 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(<mediation_data>): Access to @mediators in Mediation Data

mediators(<multimedia>): Names of Mediators in a Multimedia Object

`mediators<-`(<mediation_data>): Set the Mediators in a Mediation Data Object

`mediators<-`(): Set Mediators

mediators(): Access Class-Specific Mediators

mindfulness: Mindfulness Dataset

model-class: Representation of an Outcome or Mediation Model

multimedia(): multimedia Constructor

n_mediators(): Number of Mediators in a Multimedia Object

n_outcomes(): Number of Outcomes in a Multimedia Object

nrow(<mediation_data>): How many samples in the mediation dataset?

null_contrast(): Compare Effects from Experimental vs. Null Mediation Data

nullify(): Nullify Active Edges

outcome_model(): Access the Outcome Model in a Multimedia Object

outcome_models(): Accessor for Outcome Models

outcomes(<mediation_data>): Outcomes Data in a Mediation Data Object

outcomes(<multimedia>): Names of Outcomes in a Multimedia Object

`outcomes<-`(<mediation_data>): Set the Outcomes in a Mediation Data Object

`outcomes<-`(): Set Outcomes This is an setter method for outcomes in an S4 object, usually of class mediation_data.

outcomes(): Access Outcomes

parallelize(): Parallelize Estimation across Responses

plot_mediators(): Visualize Indirect Effects

plot_sensitivity(): Generic Sensitivity Plot

predict(<multimedia>): Predictions from a Multimedia Class

predict_across(): Predict a Subset of Responses

pretreatments(<mediation_data>): Pretreatments in a Mediation Data Object

`pretreatments<-`(<mediation_data>): Set the 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(): Access Pretreatments

retrieve_names(): Variables in a Multimedia Object

rf_model(): Random Forest Model

rf_sampler(): Sample from a Random Forest Model

sample(<multimedia>): 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

`[`(<mediation_data>,<ANY>,<ANY>,<ANY>): Subset a mediation dataset

sub_formula(): Helper to Modify Formulas

treatment_profile-class: Define a Treatment Profile

treatments(<mediation_data>): Treatments in a Mediation Data Object

treatments(<multimedia>): Names of Treatments in a Multimedia Object

`treatments<-`(<mediation_data>): Set the Treatments in a Mediation Data Object

`treatments<-`(): Set Treatments This is an setter method for treatments in an S4 object, usually of class mediation_data.

treatments(): Access Treatments