Packaged: 2020-02-15 09:44:46 UTC; garthtarr

ggplot2, reshape2, scales, dplyr, tidyr, magrittr
Packaged: 2021-07-10 10:37:12 UTC; garthtarr

Description: Exploratory graphical analysis of multivariate data,
specifically gene expression data with different projection
methods: principal component analysis, correspondence
Packaged: Tue Aug 26 05:01:25 2008; theussl

Packaged: Sun Nov 16 21:56:58 2008; tobias

methods: principal component analysis, correspondence analysis,
Packaged: Wed Apr 8 13:50:33 2009; tobias

Collate: 'dump.summary.mpm.R' 'Famin81A.R' 'Golub.R' 'mpm.R'

Collate: 'export.summary.mpm.R' 'Famin81A.R' 'Golub.R' 'mpm.R'

person(given = "Luc", family = "Wouters", role = "aut",
person(given = "Tobias", family = "Verbeke", role = "ctb",
person(given = "Laure", family = "Cougnaud", role = "cre",

Packaged: Thu May 15 12:13:33 2008; tobias

Title: Multivariate Partial Mantel Correlogram
Description: Functions to compute and plot multivariate (partial)

Acknowledgements: subvention 099/RN08/02.1 of the Spanish Ministerio de

Description: Functions to compute and plot multivariate (partial) Mantel correlograms.
Packaged: 2017-11-17 12:54:02 UTC; marcelino

Title: Mixed-pair mutual information estimators
Description: Uses a kernel smoothing approach to calculate Mutual Information
for comparisons between all types of variables including continuous vs
continuous, continuous vs discrete and discrete vs discrete. Uses a
nonparametric bias correction giving Bias Corrected Mutual Information
(BCMI). Implemented efficiently in Fortran 95 with OpenMP and suited to

Title: Mixed-Pair Mutual Information Estimators

Title: Symbolic computation and more with multivariate polynomials
Description: mpoly allows for the symbolic manipulation of multivariate
polynomials in a general and consistent way designed especially
for sparse and super sparse polynomials.  It also allows for
basic differential calculus with multivariate polynomials and
Grobner basis calculations from computational algebraic
Imports: stringr, rSymPy, rJython, rJava, rjson, partitions, plyr
'is.wholenumber.R' 'LCM.R' 'mp.R' 'mpoly.R' 'mpolyAdd.R'
'help.R' 'permutations.R' 'tuples.R' 'partitions.R' 'burst.R'
Packaged: 2012-05-02 00:00:42 UTC; david_kahle