'options.r' 'execution.r' 'handlers.r' 'help.r' 'installspec.r'

Title: Solving Imbalanced Regression Tasks
Authors@R: c(person("Nuno", "Moniz", email = "nmmoniz@inesctec.pt",
person("Rita", "P. Ribeiro", email = "rpribeiro@dcc.fc.up.pt",
person("Miguel", "Margarido", email = "miguelmargarido@gmail.com",
Description: Imbalanced domain learning has almost exclusively focused on solving
classification tasks, where the objective is to predict cases labelled with a
rare class accurately. Such a well-defined approach for regression tasks lacked
due to two main factors. First, standard regression tasks assume that each value
is equally important to the user. Second, standard evaluation metrics focus on
assessing the performance of the model on the most common cases. This package
contains methods to tackle imbalanced domain learning problems in regression
tasks, where the objective is to predict extreme (rare) values.
The methods contained in this package are: 1) an automatic and non-parametric
method to obtain such relevance functions; 2) visualisation tools; 3) suite of
evaluation measures for optimisation/validation processes; 4) the squared-error
relevance area measure, an evaluation metric tailored for imbalanced regression tasks.
More information can be found in Ribeiro and Moniz (2020) <doi:10.1007/s10994-020-05900-9>.
Imports: Rcpp, stats, ggpubr, gridExtra, ggplot2, robustbase, plot3D,
Suggests: rpart, e1071, earth, randomForest, mgcv, reshape

Imports: Rcpp, stats, ggpubr, gridExtra, ggplot2, robustbase, scam

Authors@R: c(person("Nuno", "Moniz", email = "nmoniz2@nd.edu",

Depends: R (>= 2.4.1), stats, utils, tools
Title: INTRODUZIONE ALLA STATISTICA APPLICATA con esempi in R
Author: Fabio Frascati <fabiofrascati@yahoo.it> and
Description: Insieme di funzioni di supporto al volume "INTRODUZIONE
ALLA STATISTICA APPLICATA con esempi in R", Federico M. Stefanini,
Packaged: Fri Jan 11 09:28:30 2008; Fabio

Title: Extract Cell Density and Nearest Distance Based on 'PerkinElmer
Description: Reads the output of the 'PerkinElmer InForm' software <http://www.perkinelmer.com/product/inform-cell-analysis-one-seat-cls135781>. In addition to cell-density count, it can derive statistics of intercellular spatial distance for each cell-type.
Packaged: 2018-08-20 03:39:33 UTC; wangminyu