Normalize NanoString miRNA and mRNA data
The function is used to Normalize Nanostring data

A set of tools for normalizing, diagnostics and
visualization of Nanostring nCounter data

A set of tools for normalizing, diagnostics and
visualization of NanoString nCounter data

A set of tools for normalizing, diagnostics and visualization of NanoString nCounter data

Normalize NanoString miRNA and mRNA Data
A set of tools for normalizing, diagnostics and visualization of NanoString nCounter data.

c(
person("Jamie Couture", role="cre", email="jamie.couture@nasdaq.com"),
person("Eric Vautour", role=c("aut")),
person("Nasdaq Data Link.", role="cph"))
Functions for interacting directly with the Nasdaq Data Link API to offer data in a number of formats usable in R, downloading a zip with all data from a Nasdaq Data Link database, and the ability to search. This R package uses the Nasdaq Data Link API. For more information go to <https://docs.data.nasdaq.com/>. For more help on the package itself go to <https://data.nasdaq.com/tools/r>.
httr (>= 0.6.1), zoo, jsonlite (>= 0.9.14), methods
testthat (>= 0.10.0), roxygen2, timeSeries
Jamie Couture [cre],
Eric Vautour [aut],
Nasdaq Data Link. [cph]

Color Palettes Inspired by National Parks
c(person(given = "Kevin", family = "Blake", role = c("aut", "cre"), email = "kevinsblake@gmail.com"))
Color palettes for data visualization inspired by National Parks. Currently contains 15 color schemes and checks for colorblind-friendliness of palettes.

Collection of example animal sounds for bioacoustic analysis.

person("Marcelo", "Araya-Salas", role = c("aut", "cre"), email = "marceloa27@gmail.com")

person("Marcelo", "Araya-Salas", role = c("aut", "cre"), email = "marcelo.araya@ucr.ac.cr")

An examination of indices for determining the number of clusters
: NbClust Package
Malika Charrad <malika.charrad.1@ulaval.ca> and Nadia Ghazzali
<nadia.ghazzali@mat.ulaval.ca> and Veronique Boiteau
<veronique.boiteau.1@ulaval.ca> and Azam Niknafs
<azam.niknafs.1@ulaval.ca>
This package provides most of the popular indices for
cluster validation ready to use for the outputs produced by
functions coming from the same package. It also proposes to
user the best clustering scheme from the different results
obtained by varying all combinations of number of clusters,
distance measures, and clustering methods.