| 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 |
| 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.dlmtree | Calculates predicted response for HDLM & 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 |
| sbd_dlmtree | Simulated covariates and exposures in the context of association between birth weight and maternal exposure to environmental chemicals |
| 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 |