Color Palettes Inspired by Nature in the US Pacific Northwest
PNW-Inspired Palettes for 'R' data visualizations. Palettes are variable
in length and checked for colorblind accessibility from hue, saturation,
and lightness value scaling using the 'Chroma.js  Color Palette Helper'
<https://gka.github.io/palettes/>.

An Elastic-Net Regularized Presence-Only Model
c(person("Zikun","Yang", email="yangzikun1125@gmail.com",role=c("aut", "cre", "cph")),
person("Chen","Wang", role="ctb"),
person("Iuliana","Ionita-Laza", role=c("aut","ctb")))
Presence-only model with Elastic Net penalty is a regularized generalized linear model training on the presence-absence response. This package provides functions for tuning and fitting the presence-only model. The presence-only model can be used to predict regulatory effects of genetic variants at sequence-level resolution by integrating a large number of epigenetic features and massively parallel reporter assays (MPRAs).
Zikun Yang [aut, cre, cph],
Chen Wang [ctb],
Iuliana Ionita-Laza [aut, ctb]

Penalized orthogonal-components regression (POCRE) is a supervised dimension reduction method for high-dimensional data. It sequentially constructs orthogonal components (with selected features) which are maximally correlated to the response residuals. POCRE can also construct common components for multiple responses and thus build up latent-variable models.

Dabao Zhang, Zhongli Jiang, Zeyu Zhang, Yu-ting Chen

Probability of Detection for Qualitative PCR Methods
Markus Boenn (State Office for Consumer Protection Saxony-Anhalt, Germany)
This tool computes the probability of detection (POD) curve and the limit of detection (LOD), i.e. the number of copies of the target DNA sequence required to ensure a 95 % probability of detection (LOD95). Other quantiles of the LOD can be specified.
This is a reimplementation of the mathematical-statistical modelling of the validation of qualitative polymerase chain reaction (PCR) methods within a single laboratory as provided by the commercial tool 'PROLab' <http://quodata.de/>. The modelling itself has been described by Uhlig et al. (2015) <doi:10.1007/s00769-015-1112-9>.