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.summary.hdlm   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
print                   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
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
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
