Man pages for apeterson91/rstapDP
Functional Dirichlet Process Spatial Temporal Aggregated Predictors in R
| as.array.stapDP | Retrieve DP parameter samples in Array Form |
| as.matrix.stapDP | Retrieve Parameter Samples in Matrix Form |
| assign_mode.stapDP | Estimates Posterior Mode Cluster Assignment |
| complex_longitudinal_clusters | Complex Longitudinal Clustering benvo for use in 'rstapDP'... |
| fdp_staplm | Functional Dirichlet Process Spatial Temporal Aggregated... |
| fdp_staplmer | Functional Dirichlet Process Spatial Temporal Aggregated... |
| fdp_staplmer.fit | Functional Dirichlet Process Spatial Temporal Aggregated... |
| fdp_staplm.fit | Functional Dirichlet Process Spatial Temporal Aggregated... |
| FFR_benvo | Samll benvo for use in 'rstapDP' examples and vignettes. |
| formula.stapDP | Formula method for stapDP objects |
| get_stapDPspec | Retrieve STAP-DP model specification from STAP model formula |
| longitudinal_clusters | Longitudinal Clustering benvo for use in 'rstapDP' vignettes. |
| pipe | Pipe operator |
| plotdf | Cluster-Specific Spatial Temporal Effects Plot Dataframe |
| plot.stapDP | Cluster-Specific Spatial Temporal Effects |
| posterior_interval.stapDP | Posterior uncertainty intervals |
| ppc | Posterior Predictive Checks |
| print.stapDP | Print and Summary Method |
| reexports | Objects exported from other packages |
| rstapDP-package | The 'rstapDP package.' |
| stapDP | Create a stapDP object |
| stapDP-methods | Methods for stapDP objects |
| stapDPspec | Create STAP-DP data structure |
| stapDPspec-methods | 'stapDPspec' Methods |
| stappDP_fit | Penalized Functional Dirichlet Process Linear Regression with... |
| stappDP_merdecomp | Penalized Functional Dirichlet Process Linear Mixed Effects... |
| stappDP_mer_fit | Penalized Functional Dirichlet Process Linear Mixed Effects... |
| summary.stapDP | Summary method for stapDP objects |
| traceplots | Diagnostic Traceplots |
| waic | Widely Applicable Information Criterion |
