Title: Implements Models of Uncertainty into the Interpolation
Description: Provides a basic (random) data, grids, 6 models of uncertainty, 3 automatic interpolations (idw, spline, kriging), variogram and basic data visualization.
Depends: R (>= 3.0.0), sp, RandomFields, automap, fields, gstat
Imports: geoR, methods, stats, Rcpp, utils

Title: Uncertain Area Methods for Cut-Point Determination in Tests
Authors@R: c(person("Hans", "Landsheer", role = c("aut", "cre"),
Description: Functions for the determination of an Uncertain Interval, i.e., a range
of test scores that are inconclusive and do not allow a diagnosis, other than
Imports: stats, utils, reshape2, rootSolve, nloptr

Title: Uncertain Interval Methods for Cut-Point Determination in Tests
Description: Functions for the determination of an uncertain interval, i.e., a
range of test scores that are inconclusive and do not allow a diagnosis, other
than 'Uncertain', reference J.A. Landsheer <doi:10.1371/journal.pone.0166007>.

Suggests: MASS, car (>= 2.1-2), knitr, pander, rmarkdown
than 'Uncertain' (Reference: J.A. Landsheer (2016) <doi:10.1371/journal.pone.0166007>).

Title: Uncertain Interval Methods for Three-Way Cut-Point Determination
Description: Functions for the determination of an uncertain interval, that is, a
range of test scores that is inconclusive and does not allow a classification other
Imports: stats, utils, reshape2, rootSolve, nloptr, zoo

Suggests: carData, knitr, pander, rmarkdown, rticles, R.rsp
Imports: MASS, car, stats, utils, reshape2, rootSolve, nloptr, zoo,

Description: Functions for the determination of an uncertain interval, that is,
a range of test scores that is inconclusive and does not allow a
classification other than 'Uncertain' (Reference: J.A. Landsheer (2016)
Imports: MASS, car, stats, utils, reshape2, nloptr, zoo, psych, shiny

Author: Aijun Zhang, Haoyu Li, Shijie Quan
Description: Efficient procedures for constructing uniform design of experiments under various space-filling criteria. It is based on a stochastic and adaptive threshold accepting algorithm with flexible initialization, adaptive threshold, and stochastic evolution. The package may also construct the augmented uniform designs in a sequential manner.