Title: Methods for Quantitative Magnetic Resonance Imaging (qMRI)
Depends: R (>= 3.5), awsMethods (>= 1.0)

Depends: R (>= 3.5), awsMethods (>= 1.0), methods
<doi:10.20347/WIAS.PREPRINT.2432>. Usage of the package is also described in
Magnetic Resonance Brain Imaging, Chapter 6, Springer, Use R! Series.

Imports: oro.nifti (>= 0.9), stringr, aws (>= 2.4), adimpro (>= 0.9)
Copyright: This package is Copyright (C) 2015-2020 Weierstrass

Title: qPCR data analysis and plot package
Author: Yuzhuo Pan, Xiaoyu Yan, Junxin Li
Description: use 2^ddCT methods calculate the relative gene expression,
data file can be export from bio-rad qpcr machine, the results
Packaged: 2011-09-11 02:45:24 UTC; Administrator

can be plot with errorbar. ver 1.1 add GroupPlot function, can

Authors@R: person('Xiang', 'LI', email = 'lixiang117423@gmail.com', role = c('cre', 'aut'))
Description: qPCR is a widely used method to detect the expression level of genes in
biological research. A crucial step in processing qPCR data is to calculate
the amplification efficiency of genes to determine which method should be used
to calculate expression level of genes. This Package can do it easily.
In addition to that, this package can calculate the expression level of genes
Imports: broom, data.table, dplyr, ggplot2, ggpmisc, ggthemes,
magrittr, multcomp, readxl, reshape2, rstatix, sjmisc, stringr,

Description: RT-qPCR is a widely used method to detect the expression level of genes in

kableExtra, magrittr, multcomp, readxl, reshape2, rstatix,

Title: Variables Selection for Clustering and Classification
Description: For a given data matrix A and cluster centers/prototypes collected in the matrix P, the functions described here select a subset of statistic variables Q that mostly explains/justifies P as prototypes. The functions are useful to reduce the data dimension for classification and to discard masking variables for clustering.

Title: Functions to Facilitate Exploratory Data Analysis
person("Barich", "Griffen", role = "ctb"),
person("Jamrog", "Kelly", role = "ctb"),
person("Kravchenko", "Elizaveta", role = "ctb"),
person("Kuruvilla", "Jacob", role = "ctb"),
person("Nakamura", "Shota", role = "ctb"),
person("Rodriguez", "Belen", role = "ctb"),
person("Corpuz", "Frederick", role = "ctb"),
person("Juradat", "Nurah", role = "ctb"),
person("Karp", "Harrison", role = "ctb"),
person("Stevenson", "Kenneth", role = "ctb"),
person("Thomas-Franz", "Kaitlyn", role = "ctb"),
person("Aldarmaki", "Ahmed", role = "ctb"),
person("Alneyadi", "Mohammed", role = "ctb"),
person("Altai", "Chossis", role = "ctb"),
person("Colorado", "Sofia", role = "ctb"),
person("Northrop", "Blake", role = "ctb"),
person("Tuhabonye", "Emma", role = "ctb"),
Description: Functions for descriptive statistics,
data management, and data visualization.
Imports: ggplot2, dplyr, tidyr, ggcorrplot, multcompView, PMCMRplus,
crayon, purrr, haven, rlang, ggExtra, patchwork