Package contains most of the popular internal and external cluster validation methods ready to use for the most of the outputs
produced by functions coming from package "cluster". Package contains also functions and examples of usage for cluster
stability approach applied to algorithms implemented in "cluster" package.
Packaged: Mon Jul 16 12:00:43 2007; root

Packaged: Sun Apr  6 23:39:10 2008; wookash

produced by functions comming from package "cluster". Package contains also functions and examples of usage for  cluster
stablility for alghoritms implemented in "cluster" package.
Packaged: Tue Jul 10 15:28:24 2007; root

Packaged: Wed May 14 22:24:17 2008; root

stability approach that might be applied to algorithms implemented in "cluster" package as well as user defined clustering algorithms.
Packaged: Mon Feb 16 22:44:59 2009; wookash

Description: Package contains most of the popular internal and external
cluster validation methods ready to use for the most of the
outputs produced by functions coming from package "cluster".
Package contains also functions and examples of usage for
cluster stability approach that might be applied to algorithms
implemented in "cluster" package as well as user defined

Packaged: Thu Oct 15 11:12:46 2009; wookash

Packaged: Thu Dec 18 09:19:40 2008; root

Title: Analysis of Cardiac Magnetic Resonance Images
Authors@R: c(person("Volker", "Schmid", role = c("aut", "cre"),
Imports: Matrix, splines, fields, graphics, parallel
Description: Computes maximum response from Cardiac Magnetic Resonance Images using spatial and voxel wise spline based Bayesian model. This is an implementation of the methods described in Schmid (2011) <doi:10.1109/TMI.2011.2109733> "Voxel-Based Adaptive Spatio-Temporal Modelling of Perfusion Cardiovascular MRI". IEEE TMI 30(7) p. 1305 - 1313.
Suggests: knitr, rmarkdown, codetools, testthat (>= 3.0.0), R.rsp

Title: Implementation of the Conic Multivariate Adaptive Regression
c(person("Fatma", "Yerlikaya-Ozkurt", email = "fatma.yerlikaya@atilim.edu.tr", role = "aut"),
person("Ceyda", "Yazici", email = "ceydayazici86@gmail.com", role = c("aut", "cre")),
person("Inci", "Batmaz", email = "ibatmaz@metu.edu.tr", role = c("aut")))
Description: An implementation of 'Conic Multivariate Adaptive Regression Splines (CMARS)' in R.
See Weber et al. (2011) CMARS: a new contribution to nonparametric regression with
multivariate adaptive regression splines supported by continuous optimization,
<DOI:10.1080/17415977.2011.624770>. It constructs models by using the terms
obtained from the forward step of MARS and then estimates parameters by using
'Tikhonov' regularization and conic quadratic optimization. It is possible to
construct models for prediction and binary classification. It provides performance
measures for the model developed. The package needs the optimisation software 'MOSEK'
<https://www.mosek.com/> to construct the models. Please follow the instructions in
Imports: earth, graphics, Rmosek, stats, stringr, utils, Matrix, AUC,
Packaged: 2021-02-19 09:58:55 UTC; ceyda.yazici