Title: An R package to accompany Hollander, Wolfe, and Chicken -
Nonparametric Statistical Methods, Third Edition
Description: This package was designed to replace the tables which were in the back of the first two editions of Hollander and Wolfe - Nonparametric Statistical Methods.  Exact procedures are performed when computationally possible.  Monte Carlo and Asymptotic procedures are performed otherwise.  For those procedures included in the base packages, our code simply provides a wrapper to standardize the output with the other procedures in the package.
Depends: R (>= 2.10), combinat, MASS, partitions, stats, survival
Imports: agricolae, ash, binom, BSDA, coin, epitools, fANCOVA, gtools,
Hmisc, km.ci, metafor, nortest, np, quantreg, Rfit, SemiPar,

Author: Grant Schneider, Eric Chicken, Rachel Becvarik

Title: Functions and Datasets to Accompany Hollander, Wolfe, and
Chicken - Nonparametric Statistical Methods, Third Edition
Description: Designed to replace the tables which were in the back of the first two editions of Hollander and Wolfe - Nonparametric Statistical Methods.  Exact procedures are performed when computationally possible.  Monte Carlo and Asymptotic procedures are performed otherwise.  For those procedures included in the base packages, our code simply provides a wrapper to standardize the output with the other procedures in the package.

Imports: agricolae, ash, binom, BSDA, coin, fANCOVA, gtools, Hmisc,
km.ci, metafor, nortest, np, quantreg, Rfit, SemiPar,

Packaged: 2015-03-17 17:56:14 UTC; grantschneider

Packaged: 2015-03-19 03:49:30 UTC; grantschneider

Title: National Statistical Office of Mongolia's Open Data API Handler
Description: National Statistical Office of Mongolia (NSO) is the national statistical service and an organization of Mongolian government. NSO provides open access and official data via its web site <http://www.1212.mn/> and API <http://opendata.1212.mn/en/doc>. The package NSO1212 has functions for accessing the API service. The functions are compatible with the API v2.0 and get data sets and its detailed informations from the API.
Authors@R: person("Makhgal", "Ganbold", email = "makhgal@seas.num.edu.mn", role = c("aut", "cre"))