Changes in version 1.1.1 (2026-02-03)                  

  - removed C++11 from DESCRIPTION per CRAN requirements

                 Changes in version 1.1.0 (2025-04-25)                  

  - new feature: diagnose() function - launches a Shiny panel for
    assessing MCMC convergence, which includes:
    
      - trace plots and density plots for the estimated distributed lag
        function
      - lag-wise convergence analysis
      - tree update convergence
      - trace plots and density plots for hyperparameters
      - exposure selection (for mixture models)
      - modifier selection (for heterogeneous models)

  - update summary.X() functions
    
      - more consistent output formats
      - add options to extract MCMC posterior samples

  - documentation improvement
    
      - add more detailed descriptions in Value sections
      - reduced redundancy across help files of S3method

                        Changes in version 1.0.1                        

  - change the documentation organization format of the main function
    using list() for input argument
      - lists of arguments are linked to control.R
      - remove the prefixes from control arguments
  - remove following scripts from the package: tdlmm.R, tdlnm.R
  - update credible interval bands to be transparent

                       Changes in version 1.0.0.2                       

  - fix to shiny.hdlm and shiny.hdlmm to remove bug where no data is
    selected
  - fix to combine.models.R to correctly combine tree posterior samples
  - fix to summary.tdlmm in rowMeans to stop autodrop of dimension

                       Changes in version 1.0.0.1                       

  - a split point for Subgroup tab in shiny interface set to the mode of
    proportion

                 Changes in version 1.0.0 (2024-05-31)                  

  - initial CRAN release
  - spelling checks using spell_check_package() function from spelling
    package
  - S3 method predict.dlmtree is separately defined as predict.hdlm and
    predict.hdlmm
  - combined model fitting functions tdlnm and tdlmm into dlmtree

                        Changes in version 0.9.0                        

  - Beta prior for monotone CW selection
  - Bayes factor selection method
  - zero inflated tree method
  - monotone DLNM
  - precalculation in tdlnm for large speed improvement

                       Changes in version 0.8.1.1                       

  - fix to single covariate model
  - add functions for posterior analysis with dlmtree class (pip and
    splitpoints)

                       Changes in version 0.8.1.0                       

  - fix to allow intercept only models
  - updated tdlnm algorithm for increased performance (memory
    restriction for large datasets)

                       Changes in version 0.8.0.0                       

  - add HDLM functionality (dlmtree)

                       Changes in version 0.7.1.1                       

  - fix summary.tdlmm if nMix=1 or nExp=1

                       Changes in version 0.7.1.0                       

  - combined identity and logistic link into single c++ file
  - several code efficiencies
  - updated print output of tdlmm.summary
  - removed prior on dirichlet hyperparameter
  - exposure selection based on Beta-Binomial distribution
  - keep.mcmc in summary

                       Changes in version 0.6.2.0                       

  - separated tdlmm from tdlnm function
  - included exposure selection into summary
  - prior on dirichlet hyperparameter ~Gamma(1, nTrees/4)