Title: Exceptionnal Network Motifs in biological networks
Author: S. Robin, E. Birmele, G. Grasseau, M. Koskas, S. Schbath
Description: NeMo package aims to extract motifs which are occur more
frequently than expected in random, in a given network. The
method used doesn't require any Monte-Carlo based simulations.
The number of motif occurences is compared (p-value
calculation) with well-suited count distribution (compound
Packaged: 2011-08-23 13:01:10 UTC; ggrasseau

Packaged: 2011-08-22 10:27:58 UTC; ggrasseau

Description: NeatMap is a package to create heatmap like plots in 2 and
3 dimensions, without the need for cluster analysis. Like the
heatmap, the plots created by NeatMap display both a
dimensionally reduced representation of the data as well as the
data itself. They are intended to be used in conjunction with
dimensional reduction techniques such as PCA.

Authors@R: c( person("Elvira","Di Nardo", role = c("aut", "cph"),
person("Giuseppe","Guarino", role = c("aut", "cre", "cph"),
Description: Tools to generate Necklaces, Bracelets, Lyndon words and de Bruijn sequences. The generation relies on integer partitions and uses the 'KStatistics' package. Methods used in the package refers to E. Di Nardo and G. Guarino (2022) <arXiv:2208.06855>.
Packaged: 2022-08-18 09:35:52 UTC; giuseppe.guarino

Title: Negative Binomial and Beta Binomial Bayesian Regression Models
Author: Edilberto Cepeda-Cuervo, Maria Victoria Cifuentes-Amado and Margarita Marin
Depends: R (>= 3.1.1), mvtnorm, Matrix, boot
Description: The Negative Binomial regression with mean and shape modeling and mean and variance modeling and Beta Binomial regression with mean and dispersion modeling.
Packaged: 2016-11-15 20:15:15 UTC; margarita

Title: Estimation of Vaccine Efficacy using Negative Control Outcomes
Authors@R: c(person("Lola", "Etievant", role="aut", email="lola.etievant@nih.gov"),
person(c("Mitchell", "H."), "Gail", role="aut", email="gailm@exchange.nih.gov"),
person(c("Joshua", "N."), "Sampson", role="aut", email="joshua.sampson@fda.hhs.gov"),
Description: Methods to reduce confounding bias from unmeasured confounders in observational studies of vaccine efficacy using negative control outcomes.
Packaged: 2022-02-07 18:32:30 UTC; wheelerwi