Title: Ion Selective Electrodes Analysis Methods
Dillingham, P.W., Radu, T., Diamond, D., Radu, A. and McGraw, C.M. (2012) <doi:10.1002/elan.201100510>,
Dillingham, P.W., Alsaedi, B.S.O. and McGraw, C.M. (2017) <doi:10.1109/ICSENS.2017.8233898>,
Dillingham, P.W., Alsaedi, B.S.O., Radu, A., and McGraw, C.M. (2019) <doi:10.3390/s19204544>, and
Dillingham, P.W., Alsaedi, B.S.O., Granados-Focil, S., Radu, A., and McGraw, C.M. (2020)  <doi:10.1021/acssensors.9b02133>.
Suggests: R2OpenBUGS, rjags, boot, R.rsp
SystemRequirements: OpenBUGS (>=3.0) or JAGS (>=4.3.1)

Author: Manuel J. A. Eugster <manuel.eugster@stat.uni-muenchen.de>,
Gero Walter <gero.walter@stat.uni-muenchen.de>, Thomas Augustin
Maintainer: Manuel J. A. Eugster <manuel.eugster@stat.uni-muenchen.de>
Description: A Network Analysis of the Imprecise Probability Community
based on ISIPTA Electronic Proceedings (see
Depends: igraph, colorspace, geosphere, rworldmap, ggplot2, plyr

Authors@R: c(person("Manuel", "J. A. Eugster", role = c("aut", "cre"),
Depends: igraph0, colorspace, geosphere, rworldmap, ggplot2, plyr
Author: Manuel J. A. Eugster [aut, cre], Gero Walter [aut], Thomas

Title: Data for An Introduction to Statistical Learning with
Author: Gareth James, Daniela Witten, Trevor Hastie and Rob Tibshirani
Description: The collection of datasets used in the book "An
Introduction to Statistical Learning with Applications in R"

Title: Data for an Introduction to Statistical Learning with
Description: We provide the collection of data-sets used in the book 'An Introduction to Statistical Learning with Applications in R'.

Title: Introduction to Statistical Learning, Second Edition
person("Trevor", "Hastie", role=c("aut", "cre"), email = "hastie@stanford.edu"),
Description: We provide the collection of data-sets used in the book 'An Introduction to Statistical Learning with Applications in R, Second Edition'. These include many data-sets that we used in the first edition (some with minor changes), and some new datasets.

Title: Interpretive Structural Modelling (ISM)
Description: The development of ISM was made by Warfield in 1974.
ISM is the process of collaborating distinct or related essentials into a simplified and an organized format. Hence, ISM is a methodology that seeks the interrelationships among the various elements considered and endows with a hierarchical and multilevel structure.
To run this package user needs to provide a matrix (VAXO) converted into 0's and 1's.