R: Weighting by Inverse Distance with Adaptive Least Squares

# Weighting by Inverse Distance with Adaptive Least Squares

## Documentation for package ‘widals’ version 0.6.2

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

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