Title: Differential Methylation Tests (DMtest)
Authors@R: c(person("James", "Dai", role = c("aut", "cre"),
person("Xiaoyu", "Wang", role = c("aut")))
Description: Several tests for differential methylation in methylation array data, including one-sided differential mean and variance test. Methods used in the package refer to Dai, J, Wang, X, Chen, H and others (2021) "Incorporating increased variability in discovering cancer methylation markers", Biostatistics, submitted.

Title: Functions and data for "Data Mining with R"
Depends: R(>= 2.5), methods, graphics, xts (>= 0.6-7), quantmod (>=
Description: This package includes functions and data accompanying the
book "Data Mining with R, learning with case studies" by Luis

Depends: R(>= 2.10), methods, graphics, xts (>= 0.6-7), quantmod (>=

Depends: R(>= 2.10), methods, graphics, lattice (>= 0.18-3), grid (>=
Description: This package includes functions and data accompanying the book
"Data Mining with R, learning with case studies" by Luis Torgo, CRC Press 2010.

Title: Functions and Data for the Second Edition of "Data Mining with
Description: Functions and data accompanying the second edition of the book  "Data Mining with R, learning with case studies" by Luis Torgo, published by CRC Press.
Authors@R: person("Luis", "Torgo", email = "ltorgo@dcc.fc.up.pt", role = c("aut", "cre"))

Description: Methods for studying forensic DNA profiling, in particular familial database searches.
Packaged: 2014-05-19 14:47:01 UTC; maartenkruijver

Packaged: 2014-06-23 15:06:27 UTC; maartenkruijver

Imports: Rcpp (>= 0.10.3), bit, parallel
Packaged: 2015-04-21 07:15:28 UTC; maartenkruijver

Packaged: 2015-04-19 20:41:29 UTC; maartenkruijver

Title: Generating and Testing DNA Sequences
Author: Faisal Ababneh, John Robinson, Lars S Jermiin and Hasinur Rahaman Khan
Description: Generates DNA sequences based on Markov model techniques for matched sequences. This can be generalized to several sequences. The sequences (taxa) are then arranged in an evolutionary tree (phylogenetic tree) depicting how taxa diverge from their common ancestors. This gives the tests and estimation methods for the parameters of different models. Standard phylogenetic methods assume stationarity, homogeneity and reversibility for the Markov processes, and  often impose further restrictions on the parameters.