R-universe search: topic:binary-data

Showing 7 of total 7 results (show query)

jacobkap

fastDummies:Fast Creation of Dummy (Binary) Columns and Rows from Categorical Variables

Creates dummy columns from columns that have categorical variables (character or factor types). You can also specify which columns to make dummies out of, or which columns to ignore. Also creates dummy rows from character, factor, and Date columns. This package provides a significant speed increase from creating dummy variables through model.matrix().

Maintained by Jacob Kaplan. Last updated 2 months ago.

binary-data dummy-columns dummy-data dummy-rows dummy-variable

38 stars 13.13 score 2.5k scripts 134 dependents

scollinselliott

lakhesis:Consensus Seriation for Binary Data

Determining consensus seriations for binary incidence matrices, using a two-step process of Procrustes-fit correspondence analysis for heuristic selection of partial seriations and iterative regression to establish a single consensus. Contains the Lakhesis Calculator, a graphical platform for identifying seriated sequences. Collins-Elliott (2024) <https://volweb.utk.edu/~scolli46/sceLakhesis.pdf>.

Maintained by Stephen A. Collins-Elliott. Last updated 4 months ago.

archaeology binary-data correspondence-analysis ecology seriation

5 stars 5.18 score 2 scripts

ncchung

jaccard:Testing similarity between binary datasets using Jaccard/Tanimoto coefficients

Calculate statistical significance of Jaccard/Tanimoto similarity coefficients.

Maintained by Neo Christopher Chung. Last updated 5 years ago.

binary-data hypothesis-testing jaccard similarity statistics tanimoto cpp

5 stars 5.03 score 85 scripts

gzt

catsim:Binary and Categorical Image Similarity Index

Computes a structural similarity metric (after the style of MS-SSIM for images) for binary and categorical 2D and 3D images. Can be based on accuracy (simple matching), Cohen's kappa, Rand index, adjusted Rand index, Jaccard index, Dice index, normalized mutual information, or adjusted mutual information. In addition, has fast computation of Cohen's kappa, the Rand indices, and the two mutual informations. Implements the methods of Thompson and Maitra (2020) <doi:10.48550/arXiv.2004.09073>.

Maintained by Geoffrey Thompson. Last updated 6 months ago.

binary-data binary-image-classification binary-image-processing categorical-data categorical-images classification image-processing cpp

5 stars 4.40 score 5 scripts

michalovadek

nmfbin:Non-Negative Matrix Factorization for Binary Data

Factorize binary matrices into rank-k components using the logistic function in the updating process. See e.g. Tomé et al (2015) <doi:10.1007/s11045-013-0240-9> .

Maintained by Michal Ovadek. Last updated 3 months ago.

binary-data multiplicative-updates non-negative-matrix-factorization

2 stars 4.00 score 6 scripts

seungjae2525

MRMCbinary:Multi-Reader Multi-Case Analysis of Binary Diagnostic Tests

The goal of 'MRMCbinary' is to compare the performance of diagnostic tests (i.e., sensitivity and specificity) for binary outcomes in multi-reader multi-case (MRMC) studies. It is based on conditional logistic regression and Cochran’s Q test (or McNemar’s test when the number of modalities is equal to 2).

Maintained by Seungjae Lee. Last updated 1 months ago.

binary-data diagnostic-accuracy mrmc

1 stars 3.18 score

bips-hb

SRSim:Spontaneous Reporting Simulator (SRSim)

A package for simulating spontaneous reporting data as used in the field of pharmacovigilance.

Maintained by Louis Dijkstra. Last updated 2 months ago.

binary-data pharmacovigilance simulator cpp

5 stars 3.00 score 4 scripts