An Implementation of Re-Sampling Approaches to Utility-Based
Learning for Both Classification and Regression Tasks
Provides a set of functions that can be used to obtain better predictive performance on cost-sensitive and cost/benefits tasks (for both regression and classification). This includes re-sampling approaches that modify the original data set biasing it towards the user preferences.

R(>= 3.0), methods, grDevices, graphics, stats, MBA, gstat,
automap, sp, randomForest
MASS, rpart, testthat, DMwR, ggplot2, e1071

MASS, rpart, testthat, DMwR2, ggplot2, e1071

Fixes Column Names for Uniform Crime Report "Offenses Known and
Clearance by Arrest" Datasets
person("Jacob", "Kaplan", email = "jacobkap@sas.upenn.edu", role = c       ("aut", "cre"))
Changes the column names of the inputted dataset to the correct
names from the Uniform Crime Report codebook for the "Offenses Known and
Clearance by Arrest" datasets from 1998-2014.

c(
person("Shixiang", "Wang", email = "w_shixiang@163.com",
role = c("aut", "cre"), comment = c(ORCID = "0000-0001-9855-7357")),
person("Yi", "Xiong", email = "neuroxiong@openbiox.com",
role = c("aut"), comment = c(ORCID = "0000-0002-4370-9824")),
person("Longfei", "Zhao", email = "longfei8533@126.com",
role = c("aut"), comment = c(ORCID = "0000-0002-6277-0137")),
person("Kai", "Gu", email = "gukai1212@163.com",
role = c("aut"), comment = c(ORCID = "0000-0002-0177-0774")),
person("Yin", "Li", email = "yinli18@fudan.edu.cn",
role = c("aut")),
person("Fei", "Zhao", email = "zhaofei415@mails.ucas.edu.cn",
role = c("aut"))
)
Provides a web app for downloading, analyzing and visualizing datasets
from UCSC Xena, which is a collection of
UCSC-hosted public databases such as TCGA, ICGC, TARGET, GTEx, CCLE, and others.
UCSCXenaTools, shiny, shinythemes, shinyjs, DT, dplyr,
ggplot2, plotly, RColorBrewer, magrittr, shinyBS, utils, zip

UCSCXenaTools (>= 1.2.2), shiny, shinythemes, shinyjs, DT,
dplyr, ggplot2, ggpubr, plotly, RColorBrewer, magrittr,
shinyBS, utils, zip, tibble