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dlmtree 1.1.0
- 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 Valuesections
- 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.hdlmandshiny.hdlmmto
remove bug where no data is selected
- fix to combine.models.Rto correctly combine tree
posterior samples
- fix to summary.tdlmmin 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
- initial CRAN release
- spelling checks using spell_check_package()function
fromspellingpackage
- S3 method predict.dlmtreeis separately defined aspredict.hdlmandpredict.hdlmm
- combined model fitting functions tdlnmandtdlmmintodlmtree
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
(pipandsplitpoints)
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.tdlmmif 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.mcmcin summary
dlmtree 0.6.2.0
- separated tdlmmfromtdlnmfunction
- included exposure selection into summary
- prior on dirichlet hyperparameter ~Gamma(1, nTrees/4)
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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