gam, mlogit (>= 0.3-0), MNP (>= 3.1-0), survey, jtools, boot,
Packaged: 2019-09-05 01:42:58 UTC; NoahGreifer

(>= 0.5.1), survey, jtools, boot, MASS, gbm (>= 2.1.3), knitr,
Packaged: 2019-10-16 04:05:04 UTC; NoahGreifer

Packaged: 2019-10-30 03:21:28 UTC; NoahGreifer

survey, jtools, boot, MASS, gbm (>= 2.1.3), misaem, knitr,
Packaged: 2020-01-12 03:11:42 UTC; NoahGreifer

Imports: ggplot2 (>= 3.0.0), crayon, backports
Packaged: 2020-02-10 03:38:38 UTC; NoahGreifer

Title: Subject Weighted Support Vector Machines
Imports: graphics, grDevices, stats, methods, utils
Suggests: SparseM, xtable, Matrix, MASS, e1071, knitr
Author: Tianchen Xu [aut, cre] (<https://orcid.org/0000-0002-0102-7630>),
Chih-Chung Chang [ctb, cph] (libsvm C++-code),
Chih-Chen Lin [ctb, cph] (libsvm C++-code),
Ming-Wei Chang [ctb, cph] (libsvm C++-code),
Hsuan-Tien Lin [ctb, cph] (libsvm C++-code),
Ming-Hen Tsai [ctb, cph] (libsvm C++-code),
Chia-Hua Ho [ctb, cph] (libsvm C++-code),
Hsiang-Fu Yu  [ctb, cph] (libsvm C++-code),
Description: Functions for subject/instance weighted support vector machines (SVM).
It uses a modified version of 'libsvm' and is compatible with package 'e1071'. It also allows user defined kernel matrix.

Imports: graphics, grDevices, class, stats, methods, utils
Suggests: SparseM, xtable, Matrix, MASS, e1071
It uses a modified version of 'libsvm' and is compatible with package 'e1071'.

Description: Weighted descriptive statistics is the discipline of quantitatively describing the main features of real-valued fuzzy data which usually given from a fuzzy population. One can summarize this special kind of fuzzy data numerically or graphically using this package. To interpret some of the properties of one or several sets of real-valued fuzzy data, numerically summarize is possible by some weighted statistics which are designed in this package such as mean, variance, covariance and correlation coefficent. Also, graphically interpretation can be given by weighted histogram and weighted scatter plot using this package to describe properties of real-valued fuzzy data set.