Author: Giovanni Petris <GPetris@Uark.edu> and Luca Tardella
<luca.tardella@@uniroma1.it>; original C code for ARMS by Wally
Description: Simulation from distributions supported by nested
hyperplanes, using the algorithm described in Petris &
Tardella, "A geometric approach to transdimensional Markov
chain Monte Carlo", Canadian Journal of Statistics, v.31, n.4,
(2003).  Also random direction multivariate Adaptive Rejection
Packaged: Wed Apr 26 18:32:39 2006; gpetris

Title: Simulation from Distributions Supported by Nested Hyperplanes

Title: HIBAG -- HLA Genotype Imputation with Attribute Bagging
Description: To impute HLA types from unphased SNP data using an

Description: To impute HLA types from unphased SNP data using an attribute bagging method.

Description: To impute HLA types from unphased SNP data using an attribute bagging method

Description: HIBAG is a state of the art software package for imputing HLA
types using SNP data, and it uses the R statistical programming language.
HIBAG can be used by researchers with published parameter estimates instead
of requiring access to large training sample datasets. It combines the
concepts of attribute bagging, an ensemble classifier method, with
haplotype inference for SNPs and HLA types. Attribute bagging is a
technique which improves the accuracy and stability of classifier
ensembles using bootstrap aggregating and random variable selection.

Title: Bindings for the HaveIBeenPwned.com Data Breach API
API, check whether email addresses and/or user names have been present

Title: Bindings for the 'HaveIBeenPwned.com' Data Breach API
Description: Utilising the 'Have I been pwned?' API (see <https://haveibeenpwned.com/API/v2>
for more information), check whether email addresses and/or user names have been present

Imports: httr, urltools, jsonlite, ratelimitr

person("Maëlle", "Salmon", role = c("ctb")))
Suggests: testthat, knitr, rmarkdown, lintr, webmockr
Imports: crul, urltools, jsonlite, ratelimitr, memoise

Authors@R: c(person("Yinan","Zheng", role = c("aut","cre"), email = "y-zheng@northwestern.edu"), person("Haixiang","Zhang", role = c("aut"), email = "haixiang.zhang@tju.edu.cn"), person("Lifang","Hou", role = c("aut"), email = "l-hou@northwestern.edu"), person("Lei","Liu", role = c("aut","cph"), email = "lei.liu@wustl.edu"))
Description: Allows to estimate and test high-dimensional mediation effects based on sure independent screening and minimax concave penalty techniques. A joint significance test is used for mediation effect. Haixiang Zhang, Yinan Zheng, Zhou Zhang, Tao Gao, Brian Joyce, Grace Yoon, Wei Zhang, Joel Schwartz, Allan Just, Elena Colicino, Pantel Vokonas, Lihui Zhao, Jinchi Lv, Andrea Baccarelli, Lifang Hou, Lei Liu (2016) <doi:10.1093/bioinformatics/btw351>.
Imports: stats, iterators, parallel, foreach, doParallel
Collate: utils.R simHIMA.R hima.R HIMA-package.R