Title: Exact Goodness-of-Fit Test for Multinomial Data with Fixed
fits this expectation, one can examine all possible outcomes with xmulti() or a
random sample of them with xmonte() and find the probability of an observation

Title: Retrieving Soil Data from POLARIS
person("Luiz", "Moro Rosso", email = "lhmrosso@ksu.edu", role = "cre"),
person("Andre", "Borja Reis", email = "andrefbr@ksu.edu", role = "aut"),
person("Adrian", "Correndo", email = "correndo@ksu.edu", role = "aut"),
person("Ignacio", "Ciampitti", email = "ciampitti@ksu.edu", role = "aut"))
Description: The POLARIS database <http://hydrology.cee.duke.edu/POLARIS/>
is a 30-meter probabilistic soil series map of the contiguous United
States (US). It represents an optimization of the Soil Survey
Geographic database. This R package facilitates the access
to large amounts of soil data within the US, currently
Suggests: covr, knitr, mapproj, maps, methods, rgdal, rmarkdown,
Imports: dplyr, ggplot2, magrittr, purrr, raster, sf, tidyr, utils
Maintainer: Luiz Moro Rosso <lhmrosso@ksu.edu>

Suggests: covr, knitr, mapproj, maps, methods, rgdal, rlang, rmarkdown,
Imports: curl, dplyr, ggplot2, httr, magrittr, purrr, raster, sf,

Title: A Structure for Interfaces from R
Description: Support for interfaces from R to other languages,
built around a class for evaluators and a combination of functions, classes and
methods for communication. Will be used through a specific language interface
package. Described in the book "Extending R".

Description: A 'Julia' interface structured according to the general
form described in package 'XR' and in the book "Extending R".

Description: A Julia interface structured according to the general

form described in package XR and in the book "Extending R".

SystemRequirements: Julia, v 1.0 or later

Description: A Python interface structured according to the general

Description: A 'Python' interface structured according to the general
Imports: methods, XR (>= 0.7.1), reticulate

Title: Statistical Quality Control Simulation
Description: This is a set of statistical quality control functions,  that allows plotting control charts and its iterations, process capability for variable and attribute control, highlighting the xrs_gr() function, like a first iteration for variable chart, meanwhile the we_rules() function detects non random patterns in sample.
Packaged: 2016-11-11 17:09:13 UTC; Erick Marroquin