The 'cmsafvis' R-package provides a collection of R-operators for the analysis and
Imports: animation (>= 2.6), assertthat (>= 0.2.1), cmsafops (>=
1.0.0), colorspace (>= 1.4), countrycode (>= 1.1), fields (>=
Suggests: plotKML (>= 0.6), rgdal (>= 1.4), rnaturalearth (>= 0.1),

Title: Tools to Visualize CM SAF NetCDF Data
yaml (>= 2.2), RColorBrewer, rasterVis, gridExtra, SearchTrees,
Suggests: plotKML (>= 0.6), rnaturalearth (>= 0.1), spelling (>= 2.1),

1.2.1), colorspace (>= 1.4), countrycode (>= 1.1), fields (>=
Suggests: plotKML (>= 0.8), rnaturalearth (>= 0.1), spelling (>= 2.1),

3.0), sp (>= 1.4), yaml (>= 2.2), RColorBrewer, rasterVis,

1.1.1), colorspace (>= 1.4), countrycode (>= 1.1), fields (>=

1.2.0), colorspace (>= 1.4), countrycode (>= 1.1), fields (>=
Suggests: rnaturalearth (>= 0.1), spelling (>= 2.1), testthat (>= 2.3)

Title: Statistical Methods for Composite Material Data
person("Stefan", "Kloppenborg", email = "stefan@kloppenborg.ca",
person("Billy", "Cheng", email = "bcheng@comtekadvanced.com",
person("Ally", "Fraser", email = "ally.fraser25@gmail.com",
Description: An implementation of the statistical methods commonly
used for advanced composite materials in aerospace applications.
This package focuses on calculating basis values (lower tolerance
bounds) for material strength properties, as well as performing the
associated diagnostic tests. This package provides functions for
calculating basis values assuming several different distributions,
as well as providing functions for non-parametric methods of computing
basis values. Functions are also provided for testing the hypothesis
that there is no difference between strength and modulus data from an
alternate sample and that from a "qualification" or "baseline" sample.
For a discussion of these statistical methods and their use, see the
Composite Materials Handbook, Volume 1 (2012, ISBN: 978-0-7680-7811-4).
Additional details about this package are available in the paper by
Imports: generics, ggplot2, kSamples, MASS, rlang, stats, tibble
Suggests: dplyr, knitr, lintr, purrr, rmarkdown, spelling, testthat,