Package: weitrix Title: Tools for matrices with precision weights, test and explore weighted or sparse data Version: 1.25.0 Authors@R: person("Paul", "Harrison", email = "paul.harrison@monash.edu", role = c("aut", "cre"), comment=c(ORCID="0000-0002-3980-268X")) 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. License: LGPL-2.1 | file LICENSE Encoding: UTF-8 LazyData: true Depends: R (>= 3.6), SummarizedExperiment Imports: methods, utils, stats, grDevices, assertthat, S4Vectors, DelayedArray, DelayedMatrixStats, BiocParallel, BiocGenerics, limma, topconfects, dplyr, purrr, ggplot2, rlang, scales, reshape2, splines, Ckmeans.1d.dp, glm2, RhpcBLASctl Suggests: knitr, rmarkdown, BiocStyle, tidyverse, airway, edgeR, EnsDb.Hsapiens.v86, org.Sc.sgd.db, AnnotationDbi, ComplexHeatmap, patchwork, testthat (>= 2.1.0) RoxygenNote: 7.2.3 VignetteBuilder: knitr biocViews: Software, DataRepresentation, DimensionReduction, GeneExpression, Transcriptomics, RNASeq, SingleCell, Regression Config/pak/sysreqs: libicu-dev zlib1g-dev Repository: https://bioc.r-universe.dev Date/Publication: 2026-04-28 12:52:43 UTC RemoteUrl: https://github.com/bioc/weitrix RemoteRef: HEAD RemoteSha: 8d21be1f52b381f81274fa2c3278b2a9705198cf NeedsCompilation: no Packaged: 2026-06-08 07:12:10 UTC; root Author: Paul Harrison [aut, cre] (ORCID: ) Maintainer: Paul Harrison