Function reference • rstapDP

All functions
`FFR_benvo`	Samll benvo for use in rstapDP examples and vignettes.
`FFR_distances`	Small dataset for use in rstapDP examples and vignettes.
`FFR_subjects`	Small dataset for use in rstapDP examples and vignettes.
`as.array(<stapDP>)`	Retrieve DP parameter samples in Array Form
`as.matrix(<stapDP>)`	Retrieve Parameter Samples in Matrix Form
`complex_longitudinal_clusters`	Complex Longitudinal Clustering Benvo for use in rstapDP vignettes.
`fdp_staplm()`	Functional Dirichlet Process Spatial Temporal Aggregated Predictor in a Linear Model
`fdp_staplm.fit()`	Functional Dirichlet Process Spatial Temporal Aggregated Predictor Linear Model Fit
`fdp_staplmer()`	Functional Dirichlet Process Spatial Temporal Aggregated Predictor in a Linear Mixed Effects Regression Model
`fdp_staplmer.fit()`	Functional Dirichlet Process Spatial Temporal Aggregated Predictor Linear Mixed Effects Regression Model Fit
`get_stapDPspec()`	Retrieve STAP-DP model specification from STAP model formula
`longitudinal_clusters`	Longitudinal Clustering Benvo for use in rstapDP vignettes.
`plot(<stapDP>)`	Cluster-Specific Spatial Temporal Effects
`plot_pairs()`	Plotting functions for stapDP objects Plots pairwise probability clustering plot
`posterior_interval(<stapDP>)`	Posterior uncertainty intervals
`ppc()`	Posterior Predictive Checks
`print(<stapDP>)`	Print and Summary Method
`rstapDP-package`	The `rstapDP package.`
`coef(<stapDP>)` `confint(<stapDP>)` `fitted(<stapDP>)` `nobs(<stapDP>)` `VarCorr(<stapDP>)` `ngrps(<stapDP>)` `nsamples(<stapDP>)` `ranef(<stapDP>)`	Methods for stapDP objects
`stapDP()`	Create a stapDP object
`get_k()` `get_terms_ix()` `get_component()` `has_bw()` `get_smooth_obj()`	`stapDPspec` Methods
`stapDPspec()`	Create STAP-DP data structure
`stappDP_fit()`	Penalized Functional Dirichlet Process Linear Regression with N observations
`stappDP_mer_fit()`	Penalized Functional Dirichlet Process Linear Mixed Effects Regression
`stappDP_merdecomp()`	Penalized Functional Dirichlet Process Linear Mixed Effects Regression with Between-Within Decomposition
`summary(<stapDP>)` `print(<summary.stapDP>)`	Summary method for stapDP objects
`traceplots()`	Diagnostic Traceplots

Reference

All functions