provides basic functionalities to read and write KST data from/to
files to be used together with the 'kst', 'kstMatrix', 'pks' or

Depends: R (>= 3.5.0), pks (>= 0.4-0), MASS, stringr, sets, relations

Title: Basic Functions in Knowledge Space Theory Using Matrix
knowledge structures in a particular domain. The 'kstMatrix' package
provides basic functionalities to generate, handle, and manipulate
knowledge structures and knowledge spaces. Opposed to the 'kst'
package, 'kstMatrix' uses matrix representations for knowledge
structures. Furthermore, 'kstMatrix' contains several knowledge spaces
developed by the research group around Cornelia Dowling through

Authors@R: c(person("Juan Domingo", "Gonzalez", email = "juanrst@hotmail.com", role = c("cre","aut")),
person("Victor J.", "Yohai", email = "victoryohai@gmail.com", role = "aut"),
person("Ruben H.", "Zamar", email = "ruben@stat.ubc.ca", role = "aut")
Description: A clustering algorithm similar to K-Means is implemented, it has two main advantages,
namely (a) The estimator is resistant to outliers, that means that results of estimator are still correct when
there are atypical values in the sample and (b) The estimator is efficient, roughly speaking,
if there are no outliers in the sample, results will be similar than those obtained by a classic algorithm (K-Means).
Clustering procedure is carried out by minimizing the overall robust scale so-called tau scale.
(see Gonzalez, Yohai and Zamar (2019) <arxiv:1906.08198>).
Depends: R (>= 2.10), MASS, methods, dplyr, dbscan, stats, GSE

Title: Configurable function for solving families of nonlinear
Description: This function is designed for use with an arbitrary set of equations with
The user selects "fixed" values for enough unknowns to leave as many variables as
there are equations, which in most cases means the system is properly
defined and a unique solution exists. The function, the fixed values
and initial values for the remaining unknowns are fed to a nonlinear backsolver.
The original version of "TK!Solver" was the inspiration for this function.