Changes in version 2.3.3 (2025-11-17) - Added longitudinal mediation data with survival outcome support via hima_survival_long and the hima wrapper. - Code optimization and bug fixes. Changes in version 2.3.2 (2025-06-11) - Code optimization and bug fixes. - Allows parallel computing. Changes in version 2.3.1 (2025-01-27) - Code optimization and bug fixes. - Function naming convention update. - Allows contrast and subset in hima. - Add vignette for HIMA. Changes in version 2.3.0 (2024-10-28) - Coding optimization and bug fixes. - Renmae hima2 to hima (hima2 will be retired by 2025-11-1) and improved parameter naming. Changes in version 2.2.2 (2024-08-24) - Add efficient HIMA function eHIMA. - Optimization of function hima2. - Stablization of estimates in function qHIMA. - Some improvements in output presentation and consistency. Changes in version 2.2.1 (2023-09-10) - Add quantile HIMA function qHIMA. - Enable de-biased lasso penalty for regular HIMA in function hima2 Changes in version 2.2.0 (2023-04-27) - Add wrapper function hima2 for one-stop solution of different HIMA analysis. Changes in version 2.0.1 (2022-07-18) - Rename family option in hima function to Y.family. - Rename screen.family option in hima function to M.family - Improve verbose messages. Changes in version 2.0.0 (2022-02-03) - Keep older version of null_estimation in package HDMT (< 1.0.4). - Allows negative binomial regression in funcion hima when outcome is binary. - Add new function microHIMA to handle compositional microbiome data. Changes in version 1.1.0 (2021-05-15) - Add new function survHIMA to handle survival data. Changes in version 1.0.7 (2018-03-06) - Allow low-dimensional mediator selections. Changes in version 1.0.5 (2017-11-08) - Two different sets of covariates are allowed for exposure and outcome separately. Changes in version 1.0.4 - Benjamini-Hochberg FDR adjustment is available. Changes in version 1.0.3 - Added error handler when no mediators were selected from penalized model. - More transparent information returned during model fitting (when verbose = TRUE). Changes in version 1.0.2 - Improvement: More powerful model fit when outcome variable is binary. - Generalized linear regression is now allowed in screening step. Changes in version 1.0.0 - Initial package submission to GitHub