widals-package: Weighting by Inverse Distance with Adaptive Least Squares for...

In widals: Weighting by Inverse Distance with Adaptive Least Squares

Weighting by Inverse Distance with Adaptive Least Squares for Massive Space-Time Data

Description

Fit, forecast, predict massive spacio-temporal data

Details

Package:	widals
Type:	Package
Version:	0.6.1
Date:	2019-12-07
License:	GPL (>=2)

The two essential functions are widals.snow and widals.predict, both contain an Adaptive Least Squares (ALS) prediction stage and complementary 'stochastic adjustment' stage. The function H.als.b solely fits with ALS.

This package offers the user a metaheuristic stochastic search to locate the scalar WIDALS hyperparameters. The function MSS.snow along with helper functions fun.load serve this end. In fairness, providing some useful amount of generality makes this aspect of widals a bit challenging to learn. The user new to this package should expect to spend a couple hours playing with the examples before effectively applying these functions to their own data.

Author(s)

Dave Zes

Maintainer: <[e-mail]>

See Also

Package LatticeKrig.

widals documentation built on April 4, 2025, 4:45 a.m.