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 |