Author: Douglas G. Woolford <dgwoolfo@uwo.ca>
Description: Functions that cluster 3 dimensional data into their local
modes.  Based on a convergent form of Choi and Hall's (1999)
data sharpening method.  Note: sharp3dB is much faster than
sharp3d if data is ordered in at least one dimension.
Maintainer: W. John Braun <braun@stats.uwo.ca>

Description: Functions that cluster 1-3 dimensional data into their
local modes.  Based on a convergent form of Choi and Hall's
(1999) data sharpening method.  Note: sharp3dB is much faster
than sharp3d if data is ordered in at least one dimension.

Title: Choi and Hall Style Data Sharpening
Description: Functions for use in perturbing data prior to use of nonparametric smoothers

Description: Calculation of consensus values for atomic weights, isotope amount ratios, and isotopic abundances with the associated uncertainties using multivariate meta-regression approach for consensus building.
Imports: mvtnorm, stringr, numDeriv, stats, Matrix

Title: Cluster Independent Algorithm for Rare Cell Types Identification
Description: Identification of markers of rare cell types by looking at genes whose expression is confined in small regions of the expression space <https://github.com/ScialdoneLab>.
Imports: Biobase, ggplot2, ggraph, magrittr
Suggests: circlize, clustree, ComplexHeatmap, plotly, Seurat (>= 4.0),
Packaged: 2022-02-22 11:07:19 UTC; gabriele.lubatti

Title: Clusterwise Independent Component Analysis
Author: Jeffrey Durieux [aut, cre], Tom Wilderjans [aut]
Description: Clustering multi-subject resting state functional Magnetic Resonance Imaging data. This methods enables the clustering of subjects based on multi-subject resting state functional Magnetic Resonance Imaging data. Objects are clustered based on similarities and differences in cluster-specific estimated components obtained by Independent Component Analysis.
Packaged: 2021-07-01 07:41:20 UTC; jeffreydurieux

Title: Meta-Clustering for Single-Cell Data Integration and Evaluation
person("Zhiyuan", "Hu", role = c("aut", "cre"),
Description: A workflow of (a) meta-clustering based on
inter-group similarity measures and (b) a ground-truth-free test metric to
assess the biological correctness of integration in real datasets. See Hu Z,
doParallel, igraph, parallel, graphics, ggplot2, viridis
Suggests: knitr, rmarkdown, testthat, statmod (>= 1.2.2), cowplot
Packaged: 2021-11-18 21:18:27 UTC; zhiyuanhu
Author: Zhiyuan Hu [aut, cre] (<https://orcid.org/0000-0002-1688-6032>),