| widals-package | Weighting by Inverse Distance with Adaptive Least Squares for Massive Space-Time Data |
| applystnd.Hs | Standardize Spacial Covariates with Existing Object |
| applystnd.Hst.ls | Standardize Space-Time Covariates with Existing Object |
| create.rm.ndx.ls | Cross-Validation Indices |
| crispify | Observation-Space Stochastic Correction |
| distance | Spacial Distance |
| dlog.norm | Local Search Function |
| fun.load | Stochastic Search Helper Functions |
| fun.load.hals.a | Stochastic Search Helper Functions |
| fun.load.hals.fill | Stochastic Search Helper Functions |
| fun.load.widals.a | Stochastic Search Helper Functions |
| fun.load.widals.fill | Stochastic Search Helper Functions |
| fuse.Hst.ls | Merge Contemporaneous Space-Time Covariates |
| H.als.b | Adaptive Least Squares |
| H.Earth.solar | Solar Radiation |
| Hals.fastcv.snow | ALS Spacial Cross-Validation |
| Hals.ses | Effective Standard Errors |
| Hals.snow | Fit ALS |
| Hst.sumup | Create Covariance Matrix |
| load.Hst.ls.2Zs | Load Observations into Space-Time Covariates |
| load.Hst.ls.Z | Load Observations into Space-Time Covariates |
| MSS.snow | Metaheuristic Stochastic Search |
| O3 | California Ozone |
| rm.cols.Hst.ls | Remove Space-Time Covariates from Model |
| stnd.Hs | Standardize Spacial Covariates |
| stnd.Hst.ls | Standardize Space-Time Covariates |
| stnd.Ht | Standardize Temporal Covariates |
| subsetsites.Hst.ls | Site-Wise Extract Space-Time Covariates |
| unif.mh | Local Search Function |
| unload.Hst.ls | Convert a Space-Time Covariate into Data |
| widals | Weighting by Inverse Distance with Adaptive Least Squares for Massive Space-Time Data |
| widals.predict | WIDALS Interpolation |
| widals.snow | Fit WIDALS |
| Z.clean.up | Clean Data |