Description: Provides tests of significance for covariates (or groups of covariates) in a fully nonparametric regression model and a variable (or group) selection procedure based on False Discovery Rate. In addition, it provides a function for local polynomial regression for any number of dimensions, using a bandwidth specified by the user or automatically chosen by cross validation or an adaptive procedure.
Packaged: 2015-10-10 02:11:56 UTC; MoniqueZambom

Packaged: 2017-04-27 15:45:02 UTC; adrianozambom

Maintainer: Adriano Zanin Zambom <adriano.zambom@csun.edu>
Description: Provides tests of significance for covariates (or groups of covariates) in a fully nonparametric regression model and a variable (or group) selection procedure based on False Discovery Rate. In addition, it provides a function for local polynomial regression for any number of dimensions, using a bandwidth specified by the user or automatically chosen by cross validation or an adaptive procedure. Zambom and Akritas (2014) <doi:10.5705/ss.2013.112>, Zambom and Akritas (2015) <doi:10.1016/j.jmva.2014.08.014>, Zambom and Akritas (2017) <doi:10.18637/jss.v077.i10>.
Packaged: 2021-08-06 21:08:37 UTC; adrianozambom

Packaged: 2021-09-06 16:17:51 UTC; adrianozambom

Title: Metagenome Coverage Estimation and Projections for 'Nonpareil'
Maintainer: Luis M. Rodriguez-R <lmrodriguezr@gmail.com>
Description: Plot, process, and analyze NPO files produced by

Title: Normalize Gene Expression Data using Evaluated Methods
Description: It provides a framework and a fast and simple way for researchers to evaluate methods (particularly some data-driven methods or their own methods) and then select a best one for data normalization in the gene expression analysis, based on the consistency of metrics and the consistency of datasets.
Zhenfeng Wu, Weixiang Liu, Xiufeng Jin, Deshui Yu, Hua Wang, Gustavo Glusman, Max Robinson, Lin Liu, Jishou Ruan and Shan Gao (2018) <doi:10.1101/251140>.

Title: Normalisation of psychometric tests
Author: Cecile Proust-Lima, Viviane Philipps
Description: This package provides functions for normalizing psychometric test scores. The normalization aims at correcting the metrological properties of the psychometric tests such as the ceiling and floor effects and the curvilinearity (unequal interval scaling). The package also provides functions to compute and plot predictions in the natural scale of the psychometric test from the estimates of a linear mixed model estimated on the normalized scores.