| 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 | diagnose |
| dlmEst | Calculates the distributed lag effect with DLM matrix for... |
| 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... |
| 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... |
| dlmtree.control.monotone | Control settings for dlmtree model fitting, when used for... |
| dlmtree.control.tdlnm | Control settings for dlmtree model fitting, when used for... |
| 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 | predict |
| 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 |
| 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 |
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