Description: Provides tools for downloading, reading and analysing the PNS,
Packaged: 2021-01-29 15:06:09 UTC; gabriel.assuncao

Packaged: 2021-04-21 16:08:10 UTC; gabriel.assuncao

Packaged: 2021-05-01 01:29:14 UTC; gabriel.assuncao

Packaged: 2021-06-23 21:05:26 UTC; gabriel.assuncao

Packaged: 2021-10-15 19:08:04 UTC; gabriel.assuncao

Title: Downloading, Reading and Analyzing PNS Microdata
Description: Provides tools for downloading, reading and analyzing the PNS,
Packaged: 2021-11-29 15:12:10 UTC; gabriel.assuncao

Packaged: 2022-03-24 15:42:28 UTC; gabriel.assuncao

Title: Color Palettes Inspired by Nature in the US Pacific Northwest
Description: 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'
Packaged: 2020-06-08 15:42:47 UTC; jakethesnake85

Title: An Elastic-Net Regularized Presence-Only Model
Authors@R: c(person("Zikun","Yang", email="yangzikun1125@gmail.com",role=c("aut", "cre", "cph")),
Description: 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).
Packaged: 2020-08-11 18:33:43 UTC; zikunyang

Author: Dabao Zhang, Zhongli Jiang, Zeyu Zhang
Description: 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.
Packaged: 2018-07-15 05:07:10 UTC; admin-zhangdb