limpa is now available as part of Bioconductor, see: https://bioconductor.org/packages/limpa. Please install limpa from Bioconductor, which always has the latest official version.

Questions about limpa can be sent to the Bioconductor support forum at https://support.bioconductor.org.

This repository is now used to host limpa documentation rather than to distribute code. The following vignettes and example analyses using limpa are available:

• Introduction to limpa
• Example analysis with DIA-NN output
• Example analysis with Spectronaut output
• Why limpa is better than imputation: an example where imputation methods fail completely
• Detecting differential peptide usage
• Frequently asked questions
• limpa Refence Manual (pdf)

References

Li M, Cobbold SA, Smyth GK (2025). Quantification and differential analysis of mass spectrometry proteomics data with probabilistic recovery of information from missing values. bioRxiv doi:10.1101/2025.04.28.651125.

Li M, Smyth GK (2023). Neither random nor censored: estimating intensity-dependent probabilities for missing values in label-free proteomics. Bioinformatics 39(5), btad200. doi:10.1093/bioinformatics/btad200