weitrix
Bioc currentTools for matrices with precision weights, test and explore weighted or sparse data
Release Lineage
Entered 3.11 · Apr 28, 2020
Current · Requires R 4.6
Description
Data type and tools for working with matrices having precision weights and missing data. This package provides a common representation and tools that can be used with many types of high-throughput data. The meaning of the weights is compatible with usage in the base R function "lm" and the package "limma". Calibrate weights to account for known predictors of precision. Find rows with excess variability. Perform differential testing and find rows with the largest confident differences. Find PCA-like components of variation even with many missing values, rotated so that individual components may be meaningfully interpreted. DelayedArray matrices and BiocParallel are supported.
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
58 24 exported
Complexity
3.2 avg / 27 max
Call network
58 nodes / 80 edges
Test coverage is not measured for Bioconductor packages; nodes fall back to a neutral fill.
Call graph
Open call graph →Lowest coverage
Per-function coverage is not measured for this package yet.
Code
Structure
Lines of code
5,415
Files
63
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
24
Internal functions
34
Testing & CI
Has tests
Yes
Test-to-code ratio
0.04
testthat edition
–
CI present
Yes
CI type
["travis"]
PR gated
No
Docs
Roxygen coverage
100%
Health & Security signals
Informational signals; not verdicts.
on.exit coverage
–
Unsafe pattern score
0
Dep constraint coverage
0%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
3.6
System requirements
–
C++ standard
–
License
LGPL-2.1 | file LICENSE
License flags
SPDX valid, not OSI
History
Versions
13
First release
2020-04-27
Latest release
2026-04-28
Avg cadence
182 days
Cold removal rate
–
Dep drift
6
LOC over versions
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 5%
Topics
People
- Paul Harrison author maintainer