Description: Qiita is a technical knowledge sharing and collaboration platform for programmers.
See <https://qiita.com/api/v2/docs> for more information.
Imports: httr, jsonlite, purrr, rstudioapi
Packaged: 2016-11-12 14:39:54 UTC; hiroaki-yutani

Title: Q-Kernel-Based and Conditionally Negative Definite Kernel-Based
Authors@R: c(person("Yusen", "Zhang", role = c("aut", "cre"), email = "yusenzhang@126.com", comment = c(ORCID = "0000-0003-3842-1153")), person("Daolin","Pang", role = c("ctb")), person("Jinghao", "Wang", role = c("ctb")), person("Jialin", "Zhang", role = c("ctb")))
Description: Nonlinear machine learning tool for classification, clustering
and dimensionality reduction. It integrates 12 q-kernel functions and
14 conditional negative definite kernel functions and includes the
q-kernel and conditional negative definite kernel version of
density-based spatial clustering of applications with noise,
spectral clustering, generalized discriminant analysis, principal
component analysis, multidimensional scaling, locally linear embedding,
sammon's mapping and t-Distributed stochastic neighbor embedding.
Imports: stats, class, MASS, graphics, methods
Packaged: 2018-11-07 07:53:00 UTC; Administrator
Author: Yusen Zhang [aut, cre] (<https://orcid.org/0000-0003-3842-1153>),

Sammon's mapping and t-Distributed stochastic neighbor embedding.
Imports: stats, class, graphics, methods
Packaged: 2018-11-20 02:41:41 UTC; Administrator

15 conditional negative definite kernel functions and includes the
Packaged: 2019-04-13 04:27:58 UTC; Administrator

Title: Processing Data for Quantitative Language Comparison (QLC)
Description: This is a collection of functions to read, recode, and transcode data.

Description: This is a collection of functions to read, recode, and transcode data for QLC.
Imports: stringi (>= 0.2-5), yaml (>= 2.1.11), shiny, docopt,

Title: Utility sparse matrix functions for Quantitative Language
Description: This package contains various functions that extend the functionality of the Matrix package for using sparse matrices. Some of the functions are very general, while other are highly specific for special data format as used for quantitative language comparison (QLC).