Man pages for dlmtree
Bayesian Treed Distributed Lag Models

adj_coexposureAdjusting for expected changes in co-exposure (TDLMM)
coExpRandomly sampled exposure from Colorado counties
combine.modelsCombines information from DLMs of single exposure
combine.models.tdlmmCombines information from DLMs of mixture exposures.
cppIntersectionfast set intersection tool assumes sorted vectors A and B
dlmEstCalculates the distributed lag effect with DLM matrix for...
dlmtreeFit tree structured distributed lag models
dlmtreeGPFixedGaussiandlmtree model with fixed Gaussian process approach
dlmtreeGPGaussiandlmtree model with Gaussian process approach
dlmtreeHDLMGaussiandlmtree model with shared HDLM approach
dlmtreeHDLMMGaussiandlmtree model with HDLMM approach
dlmtree-packagedlmtree: Bayesian Treed Distributed Lag Models
dlmtreeTDLM_cppdlmtree model with nested HDLM approach
dlmtreeTDLMFixedGaussiandlmtree model with fixed Gaussian approach
dlmtreeTDLMNestedGaussiandlmtree model with nested Gaussian approach
dlnmEstCalculates the distributed lag effect with DLM matrix for...
dlnmPLEstCalculates the distributed lag effect with DLM matrix for...
drawTreeDraws a new tree structure
estDLMCalculates subgroup-specific lag effects for heterogeneous...
exposureCovExposure covariance structure
get_sbd_dlmtreeDownload simulated data for dlmtree articles
mixEstCalculates the lagged interaction effects with MIX matrix for...
monotdlnm_Cppdlmtree model with monotone tdlnm approach
pipCalculates posterior inclusion probabilities (PIPs) for...
plot.summary.monotoneReturns variety of plots for model summary of class...
plot.summary.tdlmPlots a distributed lag function for model summary of 'tdlm'
plot.summary.tdlmmPlots DLMMs for model summary of class 'tdlmm'
plot.summary.tdlnmReturns variety of plots for model summary of class 'tdlnm'
pm25ExposuresPM2.5 Exposure data
ppRangeMakes a 'pretty' output of a group of numbers
predict.hdlmCalculates predicted response for HDLM
predict.hdlmmCalculates predicted response for HDLMM
print.hdlmPrint a hdlm Object
print.hdlmmPrint a hdlmm Object
print.monotonePrint a monotone Object
print.summary.hdlmPrints an overview with summary of model class 'hdlm'
print.summary.hdlmmPrints an overview with summary of model class 'hdlmm'
print.summary.monotonePrints an overview with summary of model class 'monotone'
print.summary.tdlmPrints an overview with summary of model class 'tdlm'
print.summary.tdlmmPrints an overview with summary of model class 'tdlmm'
print.summary.tdlnmPrints an overview with summary of model class 'tdlnm'
print.tdlmPrint a tdlm Object
print.tdlmmPrint a tdlmm Object
print.tdlnmPrint a tdlnm Object
rcpp_pgdrawMultiple draw polya gamma latent variable for var c[i] with...
rtmvnormTruncated multivariate normal sampler, mean mu, cov sigma,...
ruleIdxCalculates the weights for each modifier rule
scaleModelMatrixCenters and scales a matrix
shinyshiny
shiny.hdlmExecutes a 'shiny' app for HDLM.
shiny.hdlmmExecutes a 'shiny' app for HDLMM.
sim.hdlmmCreates simulated data for HDLM & HDLMM
sim.tdlmmCreates simulated data for TDLM & TDLMM
sim.tdlnmCreates simulated data for TDLNM
splitPIPCalculates the posterior inclusion probability (PIP).
splitpointsDetermines split points for continuous modifiers
summary.hdlmCreates a summary object of class 'hdlm'
summary.hdlmmCreates a summary object of class 'hdlmm'
summary.monotoneCreates a summary object of class 'monotone'
summary.tdlmCreates a summary object of class 'tdlm'
summary.tdlmmCreates a summary object of class 'tdlmm'
summary.tdlnmCreates a summary object of class 'tdlnm'
tdlmmTreed Distributed Lag Mixture Models (Deprecated)
tdlmm_Cppdlmtree model with tdlmm approach
tdlnmTreed Distributed Lag Non-Linear Models (Deprecated)
tdlnm_Cppdlmtree model with tdlnm approach
zeroToInfNormCDFIntegrates (0,inf) over multivariate normal
zinbCoTime-series exposure data for ZINB simulated data
dlmtree documentation built on June 22, 2024, 10:05 a.m.