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Changelog

Source: NEWS.md

dlmtree 1.1.0

CRAN release: 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

CRAN release: 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)