both in ex situ [in genebanks, botanical gardens, and other repositories] and in situ [in protected natural areas]. Methods are
described in Carver et al. [2021] <doi:10.1111/ecog.05430>, building on Khoury et al. [2020] <doi:10.1073/pnas.2007029117>,
Castaneda-Alvarez et al. [2016] <doi:10.1038/nplants.2016.22>, and Ramirez-Villegas et al. [2010] <doi:10.1371/journal.pone.0013497>.
fasterize (>= 1.0.0), rmarkdown (>= 2.1)

Description: Fits a Gaussian process model to data. Gaussian processes
are commonly used in computer experiments to fit an interpolating model.
The model is stored as an 'R6' object and can be easily updated with new
data. There are options to run in parallel (not for Windows), and 'Rcpp'
has been used to speed up calculations. Other R packages that perform
similar calculations include 'laGP', 'DiceKriging', 'GPfit', and 'mlegp'.

Suggests: testthat, knitr, rmarkdown, microbenchmark, numDeriv

Suggests: testthat, knitr, rmarkdown, microbenchmark, numDeriv, MASS

Suggests: testthat, knitr, rmarkdown, microbenchmark, numDeriv,
ContourFunctions, dplyr, ggplot2, ggrepel, lhs, tidyr, MASS

data. There are options to run in parallel, and 'Rcpp'
For more info about Gaussian process software, see Erickson et al. (2018)
ContourFunctions, dplyr, ggplot2, ggrepel, lhs, mixopt (>

Title: Tabular Data Suppression using Gaussian Elimination
Authors@R: c(person("Øyvind", "Langsrud", role = c("aut", "cre"),
person("Daniel", "Lupp", role = c("aut")))
Imports: SSBtools, RegSDC, stats, methods
Description: A statistical disclosure control tool to protect tables by suppression using the Gaussian elimination secondary suppression algorithm. Primary suppression functions for the minimum frequency rule, the dominance rule and a directly-disclosive rule are included. General primary suppression functions can be supplied as input. Suppressed frequencies can be replaced by synthetic decimal numbers as described in Langsrud (2019) <doi:10.1007/s11222-018-9848-9>.

person("Daniel", "Lupp", role = c("aut")),
person("Hege", "Bøvelstad", role = c("ctb")))