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 
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
- 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)