Title: Non-Uniform Memory Access ('NUMA') Optimized, Parallel K-Means
Description: The k-means 'NUMA' Optimized Routine library or 'knor' is a highly optimized and fast library for computing k-means in parallel with accelerations for Non-Uniform Memory Access ('NUMA') architectures.

Authors@R: c(person("Disa", "Mhembere", role = c("aut", "cre"), email = "disa@jhu.edu"))

Packaged: 2017-11-26 18:11:28 UTC; disa.mhembere

Authors@R: c(person("Disa", "Mhembere", role = c("aut", "cre"), email = "disa@jhu.edu"), person("Neurodata (https://neurodata.io)", role="cph"))
Packaged: 2018-01-31 04:32:38 UTC; disa.mhembere

Packaged: 2018-09-12 23:29:55 UTC; disa.mhembere

Authors@R: c(person("Disa", "Mhembere", role = c("aut", "cre"), email ="disa@cs.jhu.edu"), person("Neurodata (https://neurodata.io)", role="cph"))
Description: The k-means 'NUMA' Optimized Routine library or 'knor' is a highly optimized and fast library for computing k-means in parallel with accelerations for Non-Uniform Memory Access ('NUMA') architectures. Disa Mhembere, Da Zheng, Carey E. Priebe, Joshua T. Vogelstein, Randal Burns (2017) <arXiv:1606.08905>.

Title: Microarray Data From Multiple Biologically Interrelated
Maintainer: Siew Leng Teng <slteng@stat.berkeley.edu>
Description: This package provides Knorm correlations between genes (or
probes) from microarray data obtained across multiple
biologically interrelated experiments.  The Knorm correlation
adjusts for experiment dependencies (correlations) and reduces
to the Pearson coefficient when experiment dependencies are
absent.  The Knorm estimation approach can be generally
applicable to obtain between-row correlations from data
Packaged: Mon Apr 7 20:27:33 2008; Dan Nguyen

Title: Knot Diagrams using Bezier Curves
Description: Makes nice pictures of knots using Bezier curves and

Description: Retrieve data from 'kintone' (<https://www.kintone.com/>) via its API.
'kintone' is an enterprise application platform.
Imports: base64enc, dplyr, httr, jsonlite, lazyeval, lubridate,
methods, purrr (>= 0.2), rstudioapi, stringr