Weighting by Inverse Distance with Adaptive Least Squares

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Documentation for package ‘widals’ version 0.6.1

• 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