JointAI-package | JointAI: Joint Analysis and Imputation of Incomplete Data |
add_samples | Add samples to 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 default values for hyperparameters |
densplot | Plot posterior density from JointAI model |
densplot.JointAI | Plot posterior density from JointAI model |
densplot.mcmc.list | Plot posterior density from JointAI model |
get_imp_meth | Set default (imputation) models and order |
get_MIdat | Extract multiple imputed datasets |
get_models | Set default (imputation) models and order |
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_impmodels | List imputation models |
list_models | List imputation 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.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 |
set_refcat | Set the 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 |