Title: Detection of Differentially Methylated Regions using
Author: Deepak N. Ayyala, David E. Frankhouser, Javkhlan-Ochir Ganbat, Guido Marcucci, Ralf Bundschuh, Pearlly Yan and Shili Lin.
Maintainer: Deepak N. Ayyala <ayyala.1@osu.edu>
Description: Provides a univariate and several high dimensional multivariate test statistics for detecting differentially methylated regions based on MethylCap-seq data.

Title: Evaluation metrics for machine learning
Description: Metrics is a set of evaluation metrics that is commonly
Packaged: 2012-06-19 17:55:04 UTC; benjaminhamner

Title: Evaluation Metrics for Machine Learning
X-CRAN-Comment: Orphaned and corrected on 2017-04-21 as check errors

Description: An implementation of evaluation metrics in R that are commonly
used in supervised machine learning. It implements metrics for
regression, time series, binary classification, classification,
and information retrieval problems. It has zero dependencies and
a consistent, simple interface for all functions.
person("Ben", "Hamner", role = c("aut", "cph"), email = "ben@benhamner.com"),
person("Michael", "Frasco", role = c("aut", "cre"), email = "mfrasco6@gmail.com"),
person("Erin", "LeDell", role = c("ctb"), email = "oss@ledell.org"))

Title: Weighted Metrics and Performance Measures for Machine Learning
Description: Provides weighted versions of several metrics and
performance measures used in machine learning, including average unit
deviances of the Bernoulli, Tweedie, Poisson, and Gamma distributions,
see e.g. Ohlsson E. and Johansson B. (2015, ISBN: 978-3642107900). The
package also contains a weighted version of generalized R-squared, see
e.g. Cohen, Jacob. et al. (2002, ISBN: 978-0805822236). Furthermore,

Title: Weighted Metrics, Scoring Functions and Performance Measures for
Description: Provides weighted versions of several metrics,
scoring functions and performance measures used in machine learning,
including average unit deviances of the Bernoulli, Tweedie, Poisson,
and Gamma distributions, see Jorgensen B. (1997, ISBN:
978-0412997112). The package also contains a weighted version of
generalized R-squared, see e.g. Cohen, J. et al. (2002, ISBN:
978-0805822236). Furthermore, 'dplyr' chains are supported.