Title: Computes the noncentral gamma function
Author: Daniel Furtado Ferreira, Izabela Regina Cardoso de Oliveira and
Description: Computes the noncentral gamma function: pdf, cdf, quantile
function and inverse for the noncentrality parameter.

Authors@R: c(person("Michael", "Sumner", email = "mdsumner@gmail.com", role = c("aut", "cre")),
person("Tomas", "Remenyi", role = "ctb"),
Description: Extract metadata from 'NetCDF' data sources, these can be files, file handles or
servers. This package leverages and extends the lower level functions of the 'RNetCDF' package
providing a consistent set of functions that all return data frames. We introduce named concepts
of 'grid', 'axis' and 'source' which are all meaningful entities without formal definition in the
'NetCDF' library <https://www.unidata.ucar.edu/software/netcdf/>. 'RNetCDF' matches the library
itself with only the named concepts of 'variables', 'dimensions' and 'attributes'. 'ncmeta'
provides a required framework for the in-development 'tidync' project <https://github.com/hypertidy/ncmeta>.

provides a required framework for the in-development 'tidync' project <https://github.com/hypertidy/tidync>.

person("David", "Blodgett", role = "ctb"))
Imports: dplyr, rlang, RNetCDF, tibble, stats, tidyr

itself with only the named concepts of 'variables', 'dimensions' and 'attributes'.

person("David", "Blodgett", role = "ctb"),
person("Milton", "Woods", role = "ctb"))

Title: Techniques for Automated Classifiers
Authors@R: c(person("Cody L","Marquart", role = c("aut", "cre"), email="cody.marquart@wisc.edu"),person("Brendan","Eagan", role = c("aut"), email="beagan@wisc.edu"),person("David", "Williamson Shaffer", role = c("aut"), email = "dws@education.wisc.edu"))
Maintainer: Cody L Marquart <cody.marquart@wisc.edu>
Description: A set of techniques that can be used to develop, validate, and implement automated classifiers. A powerful tool for transforming raw data into meaningful information, 'ncodeR' (Shaffer, D. W. (2017) Quantitative Ethnography. ISBN: 0578191687) is designed specifically for working with big data: large document collections, logfiles, and other text data.
Packaged: 2018-06-19 11:31:46 UTC; clmarquart