Store and Operate with Arbitrarily Large Integers
Multi-precission library that allows to store and operate with arbitrarily big integers without
loss of precision. It includes a large list of tools to work with them, like:
- Arithmetic and logic operators
- Modular-arithmetic operators
- Computer Number Theory utilities
- Probabilistic primality tests
- Factorization algorithms
- Random generators of diferent types of integers.

Multi-precision library that allows to store and operate with arbitrarily big integers without
loss of precision. It includes a large list of tools to work with them, like:
- Arithmetic and logic operators
- Modular-arithmetic operators
- Computer Number Theory utilities
- Probabilistic primality tests
- Factorization algorithms
- Random generators of diferent types of integers.

Linear Mixed Models - An Introduction with Applications in
Veterinary Research
c(
person(c("Muhammad", "Yaseen"),  email = "myaseen208@gmail.com", role = c("aut", "cre"))
, person(c("Luc",  "Duchateau"),   email = "Luc.Duchateau@ugent.be", role = "ctb")
, person(c("Paul",  "Janssen"),    email = "paul.janssen@uhasselt.be", role = "ctb")
, person(c("John", "Rowlands"),    email = " ", role = "ctb")
)
R Codes and Datasets for Duchateau, L. and Janssen, P. and Rowlands, G. J. (1998). Linear Mixed Models. An Introduction with applications in Veterinary Research. International Livestock Research Institute.
Muhammad Yaseen [aut, cre],
Luc Duchateau [ctb],
Paul Janssen [ctb],
John Rowlands [ctb]

R Codes and Datasets for Duchateau, L. and Janssen, P. and Rowlands, G. J. (1998). Linear Mixed Models. An Introduction with applications in Veterinary Research. International Livestock Research Institute (ISBN 92-9146-038-9).

c(
person("Nastasia", "Fouret", , "nastasia.fouret@chu-reunion.fr", c("aut", "cre", "cph")),
person( "Mederic", "Descoins", , "mederic.descoins@chu-reunion.fr", role=, c("aut", "cph")),
person( "CEPOI - EA 7388", role="cph" )
)
A graphical tool designed to visualize and to give an overview of behavioural observations realized on individuals or groups. ViSiElse allows visualization of raw data during experimental observations of the realization of a procedure. It graphically presents an overview of individuals and group actions usually acquired from timestamps during video recorded sessions. Options of the package allow adding graphical information as statistical indicators (mean, standard deviation, quantile or statistical test) but also for each action green or black zones providing visual information about the accuracy of the realized actions.
Nastasia Fouret [aut, cre, cph],
Mederic Descoins [aut, cph],
CEPOI - EA 7388 [cph]