R package implementation of Milo for testing for differential abundance in KNN graphs
active 2023-08-15 → 2026-05-11 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1001 days from 2023-08-15 to 2026-05-11. Pushes: 83 total, peak 13 in a day. Pull requests: 11 total, peak 2 in a day. Issues: 148 total, peak 9 in a day. Comments: 286 total, peak 10 in a day. Stars: 163 total, peak 3 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| MikeDMorgan | 286 | 83 | 11 | 140 |
| DarioS | 24 | 0 | 0 | 11 |
| mainharryHR | 10 | 0 | 0 | 7 |
| herong2006 | 9 | 0 | 0 | 8 |
| RunyuXia | 8 | 0 | 0 | 3 |
| kaqisekuzi | 7 | 0 | 0 | 6 |
| flde | 7 | 0 | 0 | 5 |
| sepehrgolriz | 6 | 0 | 0 | 5 |
| mdpatric | 5 | 0 | 0 | 3 |
| yulijia | 5 | 0 | 0 | 4 |
| LinearParadox | 5 | 0 | 0 | 2 |
| pedriniedoardo | 5 | 0 | 0 | 3 |
| honghh2018 | 4 | 0 | 0 | 2 |
| gianfilippo | 4 | 0 | 0 | 2 |
| noranekonobokkusu | 4 | 0 | 0 | 2 |
| zktuong | 4 | 0 | 0 | 2 |
| yangjie4546 | 4 | 0 | 0 | 3 |
| Tang-RH | 4 | 0 | 0 | 2 |
| carlacohen | 3 | 0 | 0 | 2 |
| giuditta2024 | 3 | 0 | 0 | 1 |
Recent activity
Latest issues, pull requests and releases
- Issue#381nmdrf2026-03-04 22:19Best practice for Milo with mixed-effects models and multiple comparisons
- Issue#380korMichi2026-02-23 09:29Interoperability between miloR and miloDE
- Issue comment#378MikeDMorgan2026-01-07 19:49Guidelines for large sample sizes
- Issue comment#378MikeDMorgan2026-01-05 17:14Guidelines for large sample sizes
- Issue comment#321JahanRahman2025-12-09 17:22Error in `scale_color_gradient2()`
- Issue comment#376michaelhojungyoon2025-12-01 08:05Running testNhoods with and without "model.contrasts" argument results in wildly different results
- Issue comment#321Jaimelan2025-11-18 09:24Error in `scale_color_gradient2()`
- Issue comment#376MikeDMorgan2025-10-28 14:16Running testNhoods with and without "model.contrasts" argument results in wildly different results
- Issue#375boluofen2025-10-17 04:34Error in crossprod(x, y) : requires numeric/complex matrix/vector arguments
- Issue comment#373MikeDMorgan2025-09-09 07:38Milo reporting all non-significant?
- Issue comment#373MikeDMorgan2025-09-05 07:58Milo reporting all non-significant?
- Issue#367MikeDMorgan2025-08-29 14:25Basic Tutorial Hyperlink URL on project site leads to 404 error
- Pull request#372MikeDMorgan2025-08-28 17:53
- Issue#370RunyuXia2025-08-05 13:10Neighborhood Graph Construction shared or not
- Issue comment#368zktuong2025-07-11 14:15why is testNhoods returning all significant?
- Issue#368zktuong2025-07-11 14:15why is testNhoods returning all significant?
- Issue comment#368MikeDMorgan2025-07-11 13:14why is testNhoods returning all significant?
- Issue comment#368zktuong2025-07-11 08:31why is testNhoods returning all significant?
- Issue#368zktuong2025-07-11 04:08why is testNhoods returning all significant?
- Issue comment#218sbenjamaporn2025-06-23 07:04Annotating nhoods by continuous covariates
- Issue comment#218MikeDMorgan2025-06-16 08:49Annotating nhoods by continuous covariates
- Issue comment#218MikeDMorgan2025-06-14 14:02Annotating nhoods by continuous covariates
- Issue comment#366sbenjamaporn2025-06-12 16:53Checking model matrix for GLMM in MiloR
- Issue comment#218MikeDMorgan2025-06-12 15:36Annotating nhoods by continuous covariates
- Issue comment#366MikeDMorgan2025-06-12 15:31Checking model matrix for GLMM in MiloR
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 163 stars here means stars gained during the window, not the repo's star count.