Joint Analysis and Imputation of Incomplete Data

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Documentation for package ‘JointAI’ version 1.0.6

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

Help Pages

add_samples	Continue sampling from an object of class JointAI
betamm_imp	Joint Analysis and Imputation of incomplete data
betareg_imp	Joint Analysis and Imputation of incomplete data
clean_survname	Convert a survival outcome to a model name
clmm_imp	Joint Analysis and Imputation of incomplete data
clm_imp	Joint Analysis and Imputation of incomplete data
coef.JointAI	Summarize the results from an object of class JointAI
confint.JointAI	Summarize the results from an object of class JointAI
coxph_imp	Joint Analysis and Imputation of incomplete data
default_hyperpars	Get the default values for hyper-parameters
densplot	Plot the posterior density from object of class JointAI
densplot.JointAI	Plot the posterior density from object of class JointAI
extract_state	Return the current state of a 'JointAI' model
get_MIdat	Extract multiple imputed datasets from an object of class JointAI
get_missinfo	Obtain a summary of the missing values involved in an object of class JointAI
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
JM_imp	Joint Analysis and Imputation of incomplete data
JointAI	JointAI: Joint Analysis and Imputation of Incomplete Data
JointAIObject	Fitted object of class 'JointAI'
list_models	List model details
lmer_imp	Joint Analysis and Imputation of incomplete data
lme_imp	Joint Analysis and Imputation of incomplete data
lm_imp	Joint Analysis and Imputation of incomplete data
lognormmm_imp	Joint Analysis and Imputation of incomplete data
lognorm_imp	Joint Analysis and Imputation of incomplete data
longDF	Longitudinal example dataset
MC_error	Calculate and plot the Monte Carlo error
md_pattern	Missing data pattern
mlogitmm_imp	Joint Analysis and Imputation of incomplete data
mlogit_imp	Joint Analysis and Imputation of incomplete data
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
PBC	PBC data
plot.JointAI	Plot an object object inheriting from class 'JointAI'
plot.MCElist	Calculate and plot the 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
predict.JointAI	Predict values from an object of class JointAI
print.Dmat	Summarize the results from an object of class JointAI
print.JointAI	Summarize the results from an object of class JointAI
print.summary.JointAI	Summarize the results from an object of class JointAI
rd_vcov	Extract the random effects variance covariance matrix Returns the posterior mean of the variance-covariance matrix/matrices of the random effects in a fitted JointAI object.
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	Summarize the results from an object of class JointAI
sum_duration	Calculate the sum of the computational duration of a JointAI object
survreg_imp	Joint Analysis and Imputation of incomplete data
traceplot	Create traceplots for a MCMC sample
traceplot.JointAI	Create traceplots for a MCMC sample
wideDF	Cross-sectional example dataset