Functions and Datasets to Accompany the Book "The R Software:
Fundamentals of Programming and Statistical Analysis"
Functions and datasets for the reader of the book "The R Software: Fundamentals of Programming and Statistical Analysis".

T-Rex Selector: High-Dimensional Variable Selection & FDR
Control
Performs fast variable selection in high-dimensional settings while controlling the
false discovery rate (FDR) at a user-defined target level. The package is based on the paper
Machkour, Muma, and Palomar (2021) <arXiv:2110.06048>.
c(
person("Jasin", "Machkour", , "jasin.machkour@tu-darmstadt.de", role = c("aut", "cre")),
person("Simon", "Tien", , email = "simon.tien@stud.tu-darmstadt.de", role = "aut"),
person(c("Daniel", "P."), "Palomar", , "daniel.p.palomar@gmail.com", role = "aut"),
person("Michael", "Muma", , "michael.muma@tu-darmstadt.de", role = "aut")
)
knitr, rmarkdown, ggplot2, patchwork, testthat (>= 3.0.0)
MASS, stats, tlars, parallel, doParallel, foreach, doRNG,
methods, glmnet
Jasin Machkour [aut, cre],
Simon Tien [aut],
Daniel P. Palomar [aut],
Michael Muma [aut]

R (>= 2.5.1),leaps, locfit, mgcv, tseries
Contains R functions and datasets detailed in the book
"Time Series Analysis with Applications in R (second edition)"
by Jonathan Cryer and Kung-Sik Chan

Contains R functions and datasets detailed in the book
"Time Series Analysis with Applications in R (second edition)" by Jonathan Cryer and Kung-Sik Chan.
Orphaned and corrected in 2020-05-03 as check problems
were not corrected despite reminders.

\donttest, if(<length > 1>)

c(person("Md", "Yeasin", role = c("aut","cre"), email = "yeasin.iasri@gmail.com"),
person("Ranjit Kumar", "Paul", role = "aut", email = "ranjitstat@gmail.com"),
person("Dipro", "Sinha", role = "aut", email = "diprosinha@gmail.com"))
Md Yeasin [aut, cre],
Ranjit Kumar Paul [aut],
Dipro Sinha [aut]
The best ANN structure for time series data analysis is a demanding need in the present era.
This package will find the best-fitted ANN model based on forecasting accuracy.
The optimum size of the hidden layers was also determined after determining the number of lags to be included.
This package has been developed using the algorithm of Paul and Garai (2021) <doi:10.1007/s00500-021-06087-4>.