Big Data Statistical Analysis for High-Dimensional Models
Ehsan Ullah [aut, cre], Reda Rawi [aut], Lukas Meier [ctb], Ruben Dezeure [ctb], Nicolai Meinshausen [ctb], Martin Maechler [ctb], Peter Buehlmann [ctb], Tingni Sun [ctb]
c(person(given = "Ehsan", family = "Ullah", role = c("aut", "cre"), email = "eullah@qf.org.qa"),
person(given = "Reda", family = "Rawi", role = c("aut")),
person(given = "Lukas", family = "Meier", role = c("ctb")),
person(given = "Ruben", family = "Dezeure", role = c("ctb")),
person(given = "Nicolai", family = "Meinshausen", role = c("ctb")),
person(given = "Martin", family = "Maechler", role = c("ctb")),
person(given = "Peter", family = "Buehlmann", role = c("ctb")),
person(given = "Tingni", family = "Sun", role = c("ctb")))
Big data statistical analysis for high-dimensional models is made possible by modifying lasso.proj() in 'hdi' package by replacing its nodewise-regression with sparse precision matrix computation using 'BigQUIC'.
BigQuic, foreach, glmnet, lars, MASS, stats, Matrix, scalreg

This package provides some utility functions (e.g HTML
report maker).

Allows the user to manage easily R packages removal. It offers many functions to display installed packages according to
specific dates and removes them if needed. The user is always prompted when running the removal functions in order to confirm
the required action. It offers also a function that removes all the installed packages in case one wants to switch from one R version
to another and start fresh.

Managing Packages Removal and Installation
Allows the user to manage easily R packages removal and installation. It offers many functions to display installed packages according to
specific dates and removes them if needed. The user is always prompted when running the removal functions in order to confirm
the required action. It also provides functions that will install 'Github' starred R packages whether available on 'CRAN' or not.
fs, utils, glue, lubridate, jsonlite, remotes, purrr

Batching Routines in Parallel and Passing Command-Line Arguments
to R
Functions to allow you to easily pass command-line
arguments into R (primary use is linux), and functions to aid
in submitting your R code in parallel on a cluster and joining
the results afterward (e.g. multiple parameter values for
simulations running in parallel, splitting up a permutation
test in parallel, etc.). See `parseCommandArgs(...)' for the
main example of how to use this package.