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... |
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 |
dlmtree-package | dlmtree: Bayesian Treed Distributed Lag Models |
dlmtreeTDLM_cpp | dlmtree model with nested HDLM approach |
dlmtreeTDLMFixedGaussian | dlmtree model with fixed Gaussian approach |
dlmtreeTDLMNestedGaussian | dlmtree model with nested Gaussian approach |
dlnmEst | Calculates the distributed lag effect with DLM matrix for... |
dlnmPLEst | Calculates the distributed lag effect with DLM matrix for... |
drawTree | Draws a new tree structure |
estDLM | Calculates subgroup-specific lag effects for heterogeneous... |
exposureCov | Exposure covariance structure |
get_sbd_dlmtree | Download simulated data for dlmtree articles |
mixEst | Calculates the lagged interaction effects with MIX matrix for... |
monotdlnm_Cpp | dlmtree model with monotone tdlnm approach |
pip | Calculates posterior inclusion probabilities (PIPs) for... |
plot.summary.monotone | Returns variety of plots for model summary of class... |
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... |
rtmvnorm | Truncated multivariate normal sampler, mean mu, cov sigma,... |
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 |
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