precipitation rate and wind speed from the FetchClimate Web service (<http://fetchclimate.org/>)

Description: Tools to perform random forest consensus clustering of different data types. The package is designed to accept a list of matrices from different assays, typically from high-throughput molecular profiling so that class discovery may be jointly performed. For references, please see Tao Shi & Steve Horvath (2006) <doi:10.1198/106186006X94072> & Monti et al (2003) <doi:10.1023/A:1023949509487> .

Title: Importance Measure and Selection for Groups of Variables with
Description: Variable selection tools for groups of variables and functional data based on a new grouped variable importance with random forests.

Description: Japanese stock market from Yahoo!-finance-Japan

Author: Yohei Sato, Nobuaki Oshiro, Shinichi Takayanagi

Description: A set of add on tools for the 'randomForest' package.
Suggests: knitr, rmarkdown, ggplot2, nhanesA

Description: Helps fisheries scientists collect measurements from calcified
structures and back-calculate estimated lengths at previous ages using
standard procedures and models. This is intended to replace much of the
functionality provided by the now out-dated 'fishBC' software.
Imports: graphics, grDevices, clisymbols, crayon, readbitmap, rlang,

Imports: graphics, grDevices, cli, clisymbols, crayon, readbitmap,

functionality provided by the now out-dated 'fishBC' software

Title: Multivariate Analysis of Metabolomics Data using Random Forests
Author: Piergiorgio Palla, Giuliano Armano
Description: A collection of tools for multivariate analysis of metabolomics
data, which includes several preprocessing methods (normalization, scaling)
and various exploration and data visualization techniques (Principal
Components Analysis and Multi Dimensional Scaling). The core of the package
is the Random Forest algorithm used for the construction, optimization and
validation of classification models with the aim of identifying potentially
Imports: randomForest, ggplot2, UsingR, WilcoxCV, ROCR, methods