Package: TopKLists 1.0.6

Michael G. Schimek

TopKLists: Inference, Aggregation and Visualization for Top-K Ranked Lists

For multiple ranked input lists (full or partial) representing the same set of N objects, the package TopKLists offers (1) statistical inference on the lengths of informative top-k lists, (2) stochastic aggregation of full or partial lists, and (3) graphical tools for the statistical exploration of input lists, and for the visualization of aggregation results.

Authors:Michael G. Schimek, Eva Budinska, Jie Ding, Karl G. Kugler, Vendula Svendova, Shili Lin

TopKLists_1.0.6.tar.gz
TopKLists_1.0.6.zip(r-4.7)TopKLists_1.0.6.zip(r-4.6)TopKLists_1.0.6.zip(r-4.5)
TopKLists_1.0.6.tgz(r-4.6-x86_64)TopKLists_1.0.6.tgz(r-4.6-arm64)TopKLists_1.0.6.tgz(r-4.5-x86_64)TopKLists_1.0.6.tgz(r-4.5-arm64)
TopKLists_1.0.6.tar.gz(r-4.7-arm64)TopKLists_1.0.6.tar.gz(r-4.7-x86_64)TopKLists_1.0.6.tar.gz(r-4.6-arm64)TopKLists_1.0.6.tar.gz(r-4.6-x86_64)
TopKLists_1.0.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
TopKLists/json (API)

# Install 'TopKLists' in R:

install.packages('TopKLists', repos = c('https://r-forge.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://r-forge.r-project.org/projects/topklists

Datasets:

breast - Sample data from breast cancer expression
input - Sample input for TopKSpace functions
space - Sample input for TopKSpace functions

On CRAN:

4.11 score 1 packages 43 scripts 330 downloads 1 mentions 24 exports 60 dependencies

Last updated from:147bc76d90. Checks:11 NOTE, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	NOTE	178
linux-devel-x86_64	NOTE	148
source / vignettes	OK	250
linux-release-arm64	NOTE	169
linux-release-x86_64	NOTE	159
macos-release-arm64	NOTE	119
macos-release-x86_64	NOTE	291
macos-oldrel-arm64	NOTE	93
macos-oldrel-x86_64	NOTE	159
windows-devel	NOTE	137
windows-release	NOTE	128
windows-oldrel	NOTE	114
wasm-release	OK	120

Exports:aggmap Borda Borda.plot calculate.maxK CEMC compute.stream deltaplot geo.mean init.p j0.multi Kendall.plot Kendall2Lists Kendall2Lists.c KendallMLists l2norm MC MC.plot MC.ranks prepare.idata Spearman TopKListsGUI TopKSample TopKSample.c trans.matrix

Dependencies:backports base64enc bitops bslib cachem caTools checkmate cli cluster colorspace cpp11 data.table digest evaluate farver fastmap fontawesome foreign Formula fs ggplot2 glue gplots gridExtra gtable gtools highr Hmisc htmlTable htmltools htmlwidgets isoband jquerylib jsonlite KernSmooth knitr labeling lifecycle magrittr memoise mime nnet R6 rappdirs RColorBrewer rlang rmarkdown rpart rstudioapi S7 sass scales stringi stringr tinytex vctrs viridisLite withr xfun yaml

Usage of TopKLists

Rendered fromTopKLists.Rnwusingknitr::knitr

Last update: 2015-11-03
Started: 2013-05-27

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Inference, aggregation and visualization for top-_k_ ranked lists	TopKLists
Aggregation map for the integration of truncated lists	aggmap
Borda based rank aggregation	Borda
Plot Borda's scores against ranks	Borda.plot
Sample data from breast cancer expression	breast
The main function for TopKInference	calculate.maxK
CEMC based rank aggregation	CEMC
Calculates point of degeneration j0 into noise of the Idata, applying moderate deviation-based inference	compute.stream
An exploratory plot of discordance for delta selection.	deltaplot
Calculate the geometric mean	geo.mean
Initialization method for probabilities	init.p
Function returning an overall point j0 of degeneration into noise for multiple ranked lists	j0.multi
Plot of the Kendall Criterion values	Kendall.plot
Calculate modified Kendall's tau distance	Kendall2Lists Kendall2Lists.c
KendallMLists	KendallMLists
Calculate the L2 norm	l2norm
Markov chain based rank aggregation	MC
Plot of the ordered stationary probabilities	MC.plot
MC based rank aggregation	MC.ranks
Prepare Idata vector of 0's and 1's	prepare.idata
Modified Spearman's footrule distance	Spearman
TopKListsGUI for inference and visualization	TopKListsGUI
Sampler to generate N top-k lists according to p	TopKSample TopKSample.c
Sample input for TopKSpace functions	input space TopKSpaceSampleInput
Compute transition matrices	trans.matrix