Nurgazy Sulaimanov, Sunil Kumar and Heinz Koeppl
Infers networks with hubs using degree weighted Lasso method.

Parametric Regression for Discrete Response
Regression for a discrete response, where the conditional distribution is modelled via a discrete Weibull distribution.

Add a "Did You Mean" feature to the R interactive.
With this package, error messages for misspelled input of variable names or package names
suggest what you really want to do in addition to notification of the mistake.

Kosei Abe [aut, cre], Richard Cotton [ctb]
Add a "Did You Mean" feature to the R interactive. With this
package, error messages for misspelled input of variable names or package names
suggest what you really want to do in addition to notification of the mistake.

c(person("Xuechan", "Li", email = "xuechanli0530@gmail.com", role = c("aut", "cre")),
person("Jichun", "Xie", email = "jichuan.xie@duke.edu", role = c("ctb")))
A multiple testing procedure aims to find the rare-variant association regions. When variants are rare, the single variant association test approach suffers from low power. To improve testing power, the procedure dynamically and hierarchically aggregates smaller genome regions to larger ones and performs multiple testing for disease associations with a controlled node-level false discovery rate. This method are members of the family of ancillary information assisted recursive testing introduced in Pura, Li, Chan and Xie (2021) <arXiv:1906.07757v2> and Li, Sung and Xie (2021) <arXiv:2103.11085v2>.
data.table, tidyverse, Matrix, reshape2, stats, methods,
tibble, dplyr

Estimation and Prediction of Skewed Spatial Processes
Jiangyan Wang, Miao Yang and Anandamayee Majumdar
A collection of functions designed to estimate and predict skewed spatial processes, and a real data set.

MCMC method to estimate and predict skewed spatial processes. A real data set is included. Reference: Wang, Yang and Majumdar (2018) <doi.org/10.1007/s00180-017-0741-3>.

Diagnostic accuracy of classification models.
Sergej Potapov, Werner Adler and Berthold Lausen.
Several functions for evaluating the accuracy of
classification models. The package provide the following
performance measures: "cv", "0.632" and "0.632+" estimation of
the misclassification rate, sensitivity, specifity and auc. If
an application is computationally intensive, parallel execution
can be used to reduce the time taken.
snow, multicore, MASS, rpart, ipred, e1071, randomForest,
mboost