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 |

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.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 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 |

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 |