# HIMA 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.

# HIMA 2.3.2 (2025-06-10)
* Code optimization and bug fixes.
* Allows parallel computing.

# HIMA 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.

# HIMA 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.

# HIMA 2.2.2 (2024-08-23)
* Add efficient HIMA function `eHIMA`.
* Optimization of function `hima2`.
* Stablization of estimates in function `qHIMA`.
* Some improvements in output presentation and consistency.

# HIMA 2.2.1 (2023-09-10)
* Add quantile HIMA function `qHIMA`.
* Enable de-biased lasso penalty for regular HIMA in function `hima2`

# HIMA 2.2.0 (2023-04-27)
* Add wrapper function `hima2` for one-stop solution of different HIMA analysis.

# HIMA 2.0.1 (2022-07-17)
* Rename `family` option in `hima` function to `Y.family`.
* Rename `screen.family` option in `hima` function to `M.family`
* Improve `verbose` messages.

# HIMA 2.0.0 (2022-02-02)
* 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.

# HIMA 1.1.0 (2021-05-12)
* Add new function `survHIMA` to handle survival data.

# HIMA 1.0.7 (2018-03-06)
* Allow low-dimensional mediator selections.

# HIMA 1.0.5 (2017-11-05)
* Two different sets of covariates are allowed for exposure and outcome separately.

# HIMA 1.0.4 (2017-04-08)
* Benjamini-Hochberg FDR adjustment is available.

# HIMA 1.0.3 (2017-03-30)
* Added error handler when no mediators were selected from penalized model.
* More transparent information returned during model fitting (when `verbose = TRUE`).

# HIMA 1.0.2 (2016-12-13)
* Improvement: More powerful model fit when outcome variable is binary.
* Generalized linear regression is now allowed in screening step. 

# HIMA 1.0.0 (2016-07-09)
* Initial package submission to GitHub
