Other packages > Find by keyword >

JointAI  

Joint Analysis and Imputation of Incomplete Data
View on CRAN: Click here


Download and install JointAI package within the R console
Install from CRAN:
install.packages("JointAI")

Install from Github:
library("remotes")
install_github("cran/JointAI")

Install by package version:
library("remotes")
install_version("JointAI", "1.0.6")



Attach the package and use:
library("JointAI")
Maintained by
Nicole S. Erler
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-03-22
Latest Update: 2024-04-02
Description:
Joint analysis and imputation of incomplete data in the Bayesian framework, using (generalized) linear (mixed) models and extensions there of, survival models, or joint models for longitudinal and survival data, as described in Erler, Rizopoulos and Lesaffre (2021) . Incomplete covariates, if present, are automatically imputed. The package performs some preprocessing of the data and creates a 'JAGS' model, which will then automatically be passed to 'JAGS' with the help of the package 'rjags'.
How to cite:
Nicole S. Erler (2018). JointAI: Joint Analysis and Imputation of Incomplete Data. R package version 1.0.6, https://cran.r-project.org/web/packages/JointAI. Accessed 11 Sep. 2026.
Previous versions and publish date:
0.1.0 (2018-03-22 10:53), 0.2.0 (2018-07-05 15:40), 0.3.0 (2018-08-14 23:20), 0.4.0 (2018-12-04 11:00), 0.5.0 (2019-03-08 11:32), 0.5.1 (2019-05-07 09:10), 0.5.2 (2019-06-06 18:52), 0.6.0 (2019-08-31 19:40), 0.6.1 (2020-02-12 10:30), 1.0.0 (2020-08-31 08:40), 1.0.1 (2020-11-16 13:50), 1.0.2 (2021-01-13 22:00), 1.0.3 (2021-11-28 16:20), 1.0.4 (2022-09-03 14:30), 1.0.5 (2023-04-27 11:22), 1.0.6 (2024-04-02 20:25), (2026-07-09 08:07)
Other packages that cited JointAI R package
View JointAI citation profile
Other R packages that JointAI depends, imports, suggests or enhances
Complete documentation for JointAI
Functions, R codes and Examples using the JointAI R package
Some associated functions: GR_crit . JointAI . JointAIObject . MC_error . NHANES . PBC . Surv . add_linebreaks . add_samples . all_vars . bs . check_formula_list . check_full_blockdiag . check_rd_vcov . check_rd_vcov_list . clean_survname . combine_formula_lists . combine_formulas . default_hyperpars . densplot . difftime_df . duration_obj . expand_rd_vcov_full . extract_id . extract_lhs . extract_state . get_MIdat . get_Mlist . get_family . get_missinfo . get_modeltype . get_nranef . get_resp_mat . hc_rdslope_info . hc_rdslope_interact . list_models . longDF . md_pattern . model_imp . ns . parameters . paste_coef . paste_data . paste_linpred . paste_scale . paste_scaling . plot.JointAI . plot_all . plot_imp_distr . predDF . predict.JointAI . rd_vcov . reformat_difftime . remove_lhs . residuals.JointAI . set_refcat . sharedParams . simLong . split_formula . split_formula_list . sum_duration . summary.JointAI . traceplot . wideDF . 
Some associated R codes: JAGSmodel_clm.R . JAGSmodel_clmm.R . JAGSmodel_glm.R . JAGSmodel_glmm.R . JAGSmodel_mlogit.R . JAGSmodel_mlogitmm.R . JAGSmodel_surv.R . JointAI.R . JointAIObject.R . add_samples.R . build_model.R . convergence_criteria.R . datasets.R . deprecated.R . divide_matrices.R . extract_state.R . get_MIdat.R . get_data_list.R . get_model_dimensions.R . get_model_info.R . get_modeltypes.R . get_params.R . get_refs.R . get_subset.R . helpfunctions.R . helpfunctions_JAGS.R . helpfunctions_JAGSmodel.R . helpfunctions_checks.R . helpfunctions_divide_matrices.R . helpfunctions_formulas.R . helpfunctions_formulas_general.R . helpfunctions_info_list.R . helpfunctions_melt.R . helpfunctions_model_imp.R . helpfunctions_prediction.R . helpfunctions_print-paste.R . helpfunctions_ranefs.R . helpfunctions_summary.R . helpfunctions_survival.R . helpfunctions_tests.R . helpfunctions_vcov.R . list_models.R . md_pattern.R . methods.R . model_imp.R . parameters.R . plot_imp_distr.R . plots.R . predict.R . residuals.R . scaling.R . splines.R . summary.JointAI.R .  Full JointAI package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

LDLcalc  
Calculate and Predict the Low Density Lipoprotein Values
A wide variety of ways to calculate (through equations) or predict (using 9 Machine learning methods ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
c3  
'C3.js' Chart Library
Create interactive charts with the 'C3.js' charting library. All plot types in ' ...
Download / Learn more Package Citations See dependency  
IDE  
Integro-Difference Equation Spatio-Temporal Models
The Integro-Difference Equation model is a linear, dynamical model used to model phenomena that evo ...
Download / Learn more Package Citations See dependency  
PublicationBias  
Sensitivity Analysis for Publication Bias in Meta-Analyses
Performs sensitivity analysis for publication bias in meta-analyses (per Mathur & VanderWeele, 2020 ...
Download / Learn more Package Citations See dependency  

28,480

R Packages

239,283

Dependencies

75,677

Author Associations

28,481

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA