Title: Negative Binomial Model-Based Clustering
Description: Model-based clustering of high-dimensional nonnegative
data that follow Generalized Negative Binomial distribution. All functions
in this package applies to either continuous or integer data. Correlation
between variables is allowed, while samples are assumed to be independent.

Description: Model-based clustering of high-dimensional non-negative
between variables are allowed, while samples are assumed to be independent.

Description: Provides interface to the online basketball data resources such as
Basketball reference API <https://www.basketball-reference.com/> and helps
Suggests: knitr, rmarkdown, ggplot2, plyr, rvest, stringr, xml2

Title: Neighbour Balanced Block Designs (NBBDesigns)
Authors@R: c(person("Eldho", "Varghese", email = "eldhoiasri@gmail.com" , role = c( "aut","ctb")),
person("Ashutosh","Dalal", email = "ashutosh.dalal97@gmail.com", role = c( "aut", "cre")),
person("Seema", "Jaggi", email = "seema.jaggi@icar.gov.in", role =c( "aut","ctb")),
person("Arpan", "Bhowmik", email = "Arpan.stat@gmail.com" , role = "aut"),
person("Cini", "Varghese", email = "cini2204@gmail.com" , role = "aut"))
Description: Neighbour-balanced designs ensure that no treatment is disadvantaged unfairly by its surroundings. The treatment allocation in these designs is such that every treatment appears equally often as a neighbour with every other treatment. Neighbour Balanced Designs are employed when there is a possibility of neighbour effects from treatments used in adjacent experimental units. In the literature, a vast number of such designs have been developed. This package generates some efficient neighbour balanced block designs which are balanced and partially variance balanced for estimating the contrast pertaining to direct and neighbour effects, as well as provides a function for analysing the data obtained from such trials (Azais, J.M., Bailey, R.A. and Monod, H. (1993). "A catalogue of efficient neighbour designs with border plots". Biometrics, 49, 1252-1261 ; Tomar, J. S., Jaggi, Seema and Varghese, Cini (2005)<DOI: 10.1080/0266476042000305177>. "On totally balanced block designs for competition effects"). This package contains functions named nbbd1(),nbbd2(),nbbd3(),pnbbd1() and pnbbd2() which generates neighbour balanced block designs within a specified range of number of treatment (v). It contains another function named anlys()for performing the analysis of data generated from such trials.