Description: Provides an implementation of Regularized LS-TreeBoost & LAD-TreeBoost algorithm for Regulatory Network inference from any type of expression data (Microarray/RNA-seq etc). See Mall et al (2017) <doi:10.1101/132670>.

Packaged: 2022-07-22 15:38:05 UTC; administrator

Title: Regularized Generalized Canonical Correlation Analysis
Description: Regularized Generalized Canonical Correlation Analysis

Title: RGCCA and Sparse GCCA for multi-block data analysis
Author: Arthur Tenenhaus and Vincent Guillemot
Description: Multi-block data analysis concerns the analysis of several sets of variables (blocks) observed on the same group of individuals. The main aims of the RGCCA package are: (i) to study the relationships between blocks and (ii) to identify subsets of variables of each block which are active in their relationships with the other blocks.

Title: Regularized and Sparse Generalized Canonical Correlation
Description: Multiblock data analysis concerns the analysis of several sets of variables (blocks) observed on the same group of individuals. The main aims of the RGCCA package are: (i) to study the relationships between blocks and (ii) to identify subsets of variables of each block which are active in their relationships with the other blocks.
Packaged: 2017-04-30 20:26:48 UTC; tenenhaus_art

Packaged: 2017-05-10 21:19:55 UTC; tenenhaus_art

Description: Multi-block data analysis concerns the analysis of several sets
of variables (blocks) observed on the same group of individuals. The main aims
of the RGCCA package are: (i) to study the relationships between blocks and
(ii) to identify subsets of variables of each block which are active in their
Packaged: 2017-01-19 14:43:58 UTC; tenenhaus_art

Title: Preprocessing and Multivariate Analysis of Bidimensional Gas
person("Cristian", "Quiroz-Moreno", email = "cristianquirozd1997@gmail.com",
person("Guilherme", "L. Alexandrino", email = "Alexandrinogl@gmail.com",
person("Noroska", "G.S. Mogollón", email = "gaby867@gmail.com",
Author: Cristian Quiroz-Moreno [aut, cre],
Description: Implementation of chemometrics analysis for bidimensional gas
chromatography data. This package can handle data for common scientific data
format (netCDF) and fold it to 2D chromatogram. Then, it can perform
preprocessing and multivariate analysis. In the preprocessing algorithms,
baseline correction, smoothing, and peak alignment are available.
While in multivariate analysis, multiway principal component analysis is
Imports: colorRamps (>= 2.3), Rdpack (>= 0.7), prettydoc (>= 0.2)
Depends: R (>= 3.5.0), stats, methods, graphics, RNetCDF (>= 1.9-1),