NEWS

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dlmtree 1.1.1 (2026-02-03)

• removed C++11 from DESCRIPTION per CRAN requirements

dlmtree 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

dlmtree 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

dlmtree 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

dlmtree 1.0.0.1

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

dlmtree 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

dlmtree 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

dlmtree 0.8.1.1

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

dlmtree 0.8.1.0

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

dlmtree 0.8.0.0

• add HDLM functionality (dlmtree)

dlmtree 0.7.1.1

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

dlmtree 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

dlmtree 0.6.2.0

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