gaussian-processes-r

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R package for Gaussian processes built from first principles: composable covariance kernels, exact GP regression with Cholesky-based numerics, analytical marginal-likelihood gradients, posterior sampling, calibration diagnostics, time-series forecasting, and heteroscedastic and sparse (FITC) extensions.

R r-package gaussian-pro... statistics bayesian-sta... machine-lear... kriging time-series uncertainty-... regression

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Created on

September 30, 2026

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