Bayesian Treed Distributed Lag Models

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Documentation for package ‘dlmtree’ version 1.1.0

• DESCRIPTION file.
• Package NEWS.

Help Pages

adj_coexposure	Adjusting for expected changes in co-exposure (TDLMM)
coExp	Randomly sampled exposure from Colorado counties
combine.models	Combines information from DLMs of single exposure
combine.models.tdlmm	Combines information from DLMs of mixture exposures.
cppIntersection	fast set intersection tool assumes sorted vectors A and B
diagnose	diagnose
diagnose.summary.hdlm	diagnose
diagnose.summary.hdlmm	diagnose
diagnose.summary.monotone	diagnose
diagnose.summary.tdlm	diagnose
diagnose.summary.tdlmm	diagnose
diagnose.summary.tdlnm	diagnose
dlmEst	Calculates the distributed lag effect with DLM matrix for linear models.
dlmtree	Fit tree structured distributed lag models
dlmtree.control.diagnose	Diagnostic control settings for dlmtree model fitting
dlmtree.control.family	Family control settings for dlmtree model fitting
dlmtree.control.het	Control settings for dlmtree model fitting, when used for heterogeneous models
dlmtree.control.hyper	Hyperparameter control settings for dlmtree model fitting
dlmtree.control.mcmc	MCMC control settings for dlmtree model fitting
dlmtree.control.mix	Control settings for dlmtree model fitting, when used for mixture models
dlmtree.control.monotone	Control settings for dlmtree model fitting, when used for monotone model
dlmtree.control.tdlnm	Control settings for dlmtree model fitting, when used for TDLNM
dlmtreeGPFixedGaussian	dlmtree model with fixed Gaussian process approach
dlmtreeGPGaussian	dlmtree model with Gaussian process approach
dlmtreeHDLMGaussian	dlmtree model with shared HDLM approach
dlmtreeHDLMMGaussian	dlmtree model with HDLMM approach
dlmtreeTDLMFixedGaussian	dlmtree model with fixed Gaussian approach
dlmtreeTDLMNestedGaussian	dlmtree model with nested Gaussian approach
dlmtreeTDLM_cpp	dlmtree model with nested HDLM approach
dlnmEst	Calculates the distributed lag effect with DLM matrix for non-linear models.
dlnmPLEst	Calculates the distributed lag effect with DLM matrix for non-linear models.
drawTree	Draws a new tree structure
estDLM	Calculates subgroup-specific lag effects for heterogeneous models
exposureCov	Exposure covariance structure
get_sbd_dlmtree	Download simulated data for dlmtree articles
mixEst	Calculates the lagged interaction effects with MIX matrix for linear models.
monotdlnm_Cpp	dlmtree model with monotone tdlnm approach
pip	Calculates posterior inclusion probabilities (PIPs) for modifiers in HDLM & HDLMM
plot.summary.monotone	Returns variety of plots for model summary of class 'monotone'
plot.summary.tdlm	Plots a distributed lag function for model summary of 'tdlm'
plot.summary.tdlmm	Plots DLMMs for model summary of class 'tdlmm'
plot.summary.tdlnm	Returns variety of plots for model summary of class 'tdlnm'
pm25Exposures	PM2.5 Exposure data
ppRange	Makes a 'pretty' output of a group of numbers
predict	predict
predict.hdlm	predict
predict.hdlmm	predict
print	print
print.hdlm	print
print.hdlmm	print
print.monotone	print
print.summary.hdlm	print
print.summary.hdlmm	print
print.summary.monotone	print
print.summary.tdlm	print
print.summary.tdlmm	print
print.summary.tdlnm	print
print.tdlm	print
print.tdlmm	print
print.tdlnm	print
rcpp_pgdraw	Multiple draw polya gamma latent variable for var c[i] with size b[i]
rtmvnorm	Truncated multivariate normal sampler, mean mu, cov sigma, truncated (0, Inf)
ruleIdx	Calculates the weights for each modifier rule
scaleModelMatrix	Centers and scales a matrix
shiny	shiny
shiny.hdlm	shiny
shiny.hdlmm	shiny
sim.hdlmm	Creates simulated data for HDLM & HDLMM
sim.tdlmm	Creates simulated data for TDLM & TDLMM
sim.tdlnm	Creates simulated data for TDLNM
splitPIP	Calculates the posterior inclusion probability (PIP).
splitpoints	Determines split points for continuous modifiers
summary	summary
summary.hdlm	summary
summary.hdlmm	summary
summary.monotone	summary
summary.tdlm	summary
summary.tdlmm	summary
summary.tdlnm	summary
tdlmm_Cpp	dlmtree model with tdlmm approach
tdlnm_Cpp	dlmtree model with tdlnm approach
zeroToInfNormCDF	Integrates (0,inf) over multivariate normal
zinbCo	Time-series exposure data for ZINB simulated data