# Joint Analysis and Imputation of Incomplete Data

## Documentation for package ‘JointAI’ version 0.6.1

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

add_samples | Continue sampling from an object of class JointAI
clmm_imp | Joint analysis and imputation of incomplete data
clm_imp | Joint analysis and imputation of incomplete data
coef.JointAI | Summary of an object of class JointAI
confint.JointAI | Summary of an object of class JointAI
coxph_imp | Joint analysis and imputation of incomplete data
default_hyperpars | Get the default values for hyperparameters
densplot | Plot the posterior density from object of class JointAI
densplot.JointAI | Plot the posterior density from object of class JointAI
densplot.mcmc.list | Plot the posterior density from object of class JointAI
get_MIdat | Extract multiple imputed datasets from an object of class JointAI
get_models | Specify the default (imputation) model types
glmer_imp | Joint analysis and imputation of incomplete data
glme_imp | Joint analysis and imputation of incomplete data
glm_imp | Joint analysis and imputation of incomplete data
GR_crit | Gelman-Rubin criterion for convergence
JointAI | JointAI: Joint Analysis and Imputation of Incomplete Data
JointAIObject | Fitted object of class 'JointAI'
list_models | List covariate models
lme_imp | Joint analysis and imputation of incomplete data
lm_imp | Joint analysis and imputation of incomplete data
longDF | Longitudinal example dataset
MC_error | Monte Carlo error
md_pattern | Missing data pattern
model_imp | Joint analysis and imputation of incomplete data
NHANES | National Health and Nutrition Examination Survey (NHANES) Data
parameters | Parameter names of an JointAI object
plot.JointAI | Plot an object object inheriting from class 'JointAI'
plot.MCElist | Monte Carlo error
plot_all | Visualize the distribution of all variables in the dataset
plot_imp_distr | Plot the distribution of observed and imputed values
predDF | Create a new dataframe for prediction
predDF.formula | Create a new dataframe for prediction
predDF.JointAI | Create a new dataframe for prediction
predict.JointAI | Predict values from an object of class JointAI
print.JointAI | Summary of an object of class JointAI
print.summary.JointAI | Summary of an object of class JointAI
residuals.JointAI | Extract residuals from an object of class JointAI
set_refcat | Specify reference categories for all categorical covariates in the model
sharedParams | Parameters used by several functions in JointAI.
simLong | Simulated Longitudinal Data in Long and Wide Format
simWide | Simulated Longitudinal Data in Long and Wide Format
summary.JointAI | Summary of an object of class JointAI
survreg_imp | Joint analysis and imputation of incomplete data
traceplot | Traceplot of a JointAI model
traceplot.JointAI | Traceplot of a JointAI model
traceplot.mcmc.list | Traceplot of a JointAI model
wideDF | Cross-sectional example dataset