{"package":"r-srs","ecosystem":"conda","exists":true,"latest_version":"0.2.3","repository":"","license":"BSD-3-Clause","description":"Analysis of species count data in ecology often requires normalization to an identical sample size. Rarefying (random subsampling without replacement), which is a popular method for normalization, has been widely criticized for its poor reproducibility and potential distortion of the community structure. In the context of microbiome count data, researchers explicitly advised against the use of rarefying. An alternative to rarefying is scaling with ranked subsampling (SRS). SRS consists of two st","downloads_weekly":77,"deprecated":false,"health":{"score":46},"_cache":"db_only_bot","_partial":true,"_response_ms":2,"_powered_by":"depscope.dev — bot fast path (DB-only)","recommendation":{"action":"review"}}