Packaged: Mon Oct 24 21:29:27 2005; hornik

Packaged: Fri Dec  2 14:00:17 2005; hornik

Packaged: Wed Oct  4 10:50:49 2006; hornik

Packaged: Fri Dec 19 13:48:38 2008; hornik

Packaged: Sun Jan  4 15:48:14 2009; hornik

Author: S original by Trevor Hastie & Robert Tibshirani. Original R
port by Friedrich Leisch, Kurt Hornik and Brian D. Ripley.
adaptive regression splines (MARS), BRUTO, ...

Author: S original by Trevor Hastie & Robert Tibshirani. Original R port by Friedrich Leisch, Kurt Hornik and Brian D. Ripley.
Title: Mixture and Flexible Discriminant Analysis

Author: S original by Trevor Hastie & Robert Tibshirani. Original R port by Friedrich Leisch, Kurt Hornik and Brian D. Ripley. Balasubramanian Narasimhan has contributed to the upgrading of the code.
adaptive regression splines (MARS), BRUTO, and vector-response smoothing splines.
Hastie, Tibshirani and Friedman (2009) "Elements of Statistical Learning (second edition, chap 12)" Springer, New York.

person("Henry","Nanji", email = "uczhn@exmail.nottingham.ac.uk",role = c("aut", "cre")),
person("Saisakul ", "Chernbumroong", email = "S.Chernbumroong@bham.ac.uk", role = "aut"))
Description: An implementation of two functions for medical data analysis which perform basic univariate analysis
and plot heatmaps of numeric variables.Kirkwood et al. (2003) <doi/abs/10.1002/sim.1961>.
Imports: stats, ggplot2, reshape2, devtools, roxygen2, knitr, testthat,
rmarkdown, spelling, httr, covr, gh, rlang, openssl, git2r,

person("Henry","Nanji", email = "henry.nanji@nottingham.ac.uk",role = c("aut", "cre")),
Description: An implementation of functions for medical data analysis which perform basic data pre processing,
univariate and bivariate analysis.Kirkwood et al. (2003) <doi:10.1002/sim.1961>.
pkgbuild, utils, curl, VIM, FactoMineR, mice, grDevices,

Title: Multivariate Data Analysis for Chemometrics
Description: Package implements projection based methods for preprocessing,
exploring and analysis of multivariate data used in chemometrics.
Packaged: 2020-03-01 17:29:47 UTC; sergeykucheryavskiy