Weighting by Inverse Distance with Adaptive Least Squares for Massive Space-Time Data
Fit, forecast, predict massive spacio-temporal data
The two essential functions are
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.
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