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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: 2023-04-27
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 07 Nov. 2024.
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)
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
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