Bayesian Treed Distributed Lag Models

Documentation for package ‘dlmtree’ version 1.0.0

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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
dlmEst	Calculates the distributed lag effect with DLM matrix for linear models.
dlmtree	Fit tree structured distributed lag models
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.hdlm	Calculates predicted response for HDLM
predict.hdlmm	Calculates predicted response for HDLMM
print.hdlm	Print a hdlm Object
print.hdlmm	Print a hdlmm Object
print.monotone	Print a monotone Object
print.summary.hdlm	Prints an overview with summary of model class 'hdlm'
print.summary.hdlmm	Prints an overview with summary of model class 'hdlmm'
print.summary.monotone	Prints an overview with summary of model class 'monotone'
print.summary.tdlm	Prints an overview with summary of model class 'tdlm'
print.summary.tdlmm	Prints an overview with summary of model class 'tdlmm'
print.summary.tdlnm	Prints an overview with summary of model class 'tdlnm'
print.tdlm	Print a tdlm Object
print.tdlmm	Print a tdlmm Object
print.tdlnm	Print a tdlnm Object
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	Executes a 'shiny' app for HDLM.
shiny.hdlmm	Executes a 'shiny' app for HDLMM.
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.hdlm	Creates a summary object of class 'hdlm'
summary.hdlmm	Creates a summary object of class 'hdlmm'
summary.monotone	Creates a summary object of class 'monotone'
summary.tdlm	Creates a summary object of class 'tdlm'
summary.tdlmm	Creates a summary object of class 'tdlmm'
summary.tdlnm	Creates a summary object of class 'tdlnm'
tdlmm	Treed Distributed Lag Mixture Models (Deprecated)
tdlmm_Cpp	dlmtree model with tdlmm approach
tdlnm	Treed Distributed Lag Non-Linear Models (Deprecated)
tdlnm_Cpp	dlmtree model with tdlnm approach
zeroToInfNormCDF	Integrates (0,inf) over multivariate normal
zinbCo	Time-series exposure data for ZINB simulated data