_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
r-kriginv 1.4.2
Propagated dependencies: r-rgenoud@5.9-0.11 r-randtoolbox@2.0.5 r-pbivnorm@0.6.0 r-mvtnorm@1.3-3 r-dicekriging@1.6.0 r-anmc@0.2.5
Channel: guix-cran
Location: guix-cran/packages/k.scm (guix-cran packages k)
Home page: https://doi.org/10.1016/j.csda.2013.03.008
Licenses: GPL 3
Synopsis: Kriging-Based Inversion for Deterministic and Noisy Computer Experiments
Description:

Criteria and algorithms for sequentially estimating level sets of a multivariate numerical function, possibly observed with noise.

Total results: 1