c(
person("Henry","Nanji", email = "henry.nanji@nottingham.ac.uk",role = c("aut", "cre")),
person("Saisakul ", "Chernbumroong", email = "S.Chernbumroong@bham.ac.uk", role = "aut"))
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>.
stats, ggplot2, reshape2, devtools, roxygen2, knitr, testthat,
rmarkdown, spelling, httr, covr, gh, rlang, openssl, git2r,
pkgbuild, utils, curl, VIM, FactoMineR, mice, grDevices,
graphics

Multivariate Data Analysis for Chemometrics
Package implements projection based methods for preprocessing,
exploring and analysis of multivariate data used in chemometrics.

Projection based methods for preprocessing,
exploring and analysis of multivariate data used in chemometrics.
methods, graphics, grDevices, stats, Matrix

Projection based methods for preprocessing,
exploring and analysis of multivariate data used in chemometrics.
S. Kucheryavskiy (2020) <doi: 10.1016/j.chemolab.2020.103937>.

Multivariate data analysis for chemometrics
The package implements projection based methods for preprocessing, exploring and analysis of multivariate data used in chemometrics.

Package implements projection based methods for preprocessing, exploring and analysis of multivariate data used in chemometrics.

Use the open source 'MDB Tools' utilities
<https://github.com/mdbtools/mdbtools/>. Primarily used for converting
proprietary Microsoft Access files to simple text files and then
reading those as data frames.

person(given = "Nelson",
family = "Gonzabato",
role = c("aut", "cre"),
email = "gonzabato@hotmail.com")
Correct identification and handling of missing data is one of the most important steps in any analysis. To aid this process, 'mde' provides a very easy to use yet robust framework to quickly get an idea of where the missing data
lies and therefore find the most appropriate action to take.
Graham WJ (2009) <doi:10.1146/annurev.psych.58.110405.085530>.