The msm R package for continuous-time multi-state modelling of panel data
R · active 2023-08-23 → 2026-02-13 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 906 days from 2023-08-23 to 2026-02-13. Pushes: 112 total, peak 20 in a day. Pull requests: 3 total, peak 1 in a day. Issues: 105 total, peak 26 in a day. Comments: 157 total, peak 12 in a day. Stars: 24 total, peak 1 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 |
|---|---|---|---|---|
| chjackson | 199 | 58 | 2 | 81 |
| github-actions[bot] | 54 | 54 | 0 | 0 |
| taledv | 20 | 0 | 0 | 17 |
| 26pan | 20 | 0 | 0 | 14 |
| yinglittxs | 8 | 0 | 0 | 4 |
| luck999 | 8 | 0 | 0 | 6 |
| SPriyanshi-30 | 8 | 0 | 0 | 3 |
| diogoroicado | 6 | 0 | 0 | 5 |
| bastistician | 6 | 0 | 0 | 4 |
| sleepoctopus-max | 4 | 0 | 0 | 3 |
| sophiakrix | 4 | 0 | 0 | 3 |
| gezelle-d | 4 | 0 | 0 | 2 |
| kumarr14 | 3 | 0 | 0 | 2 |
| marc-vaisband | 3 | 0 | 0 | 1 |
| adrose | 3 | 0 | 0 | 1 |
| slee-101 | 3 | 0 | 0 | 2 |
| poradamc | 2 | 0 | 0 | 1 |
| jiali3wang | 2 | 0 | 0 | 0 |
| suyanpengzhang | 2 | 0 | 0 | 0 |
| iago-pssjd | 2 | 0 | 0 | 1 |
Recent activity
Latest issues, pull requests and releases
- Issue#114chjackson2026-02-04 14:26Bug in transition probability matrix
- Issue#120chjackson2026-02-04 14:13How to compare the difference of probability and sojourn time?
- Issue#120chjackson2026-02-04 14:13How to compare the difference of probability and sojourn time?
- Issue#121chjackson2026-02-04 14:12Explain the difference between probability and HR
- Issue comment#121chjackson2025-11-12 09:15Explain the difference between probability and HR
- Issue#121yinglittxs2025-11-12 04:19Explain the difference between probability and HR
- Issue comment#120chjackson2025-11-03 10:43How to compare the difference of probability and sojourn time?
- Issue#120yinglittxs2025-11-03 02:41How to compare the difference of probability and sojourn time?
- Issue comment#119chjackson2025-10-26 11:39"legend.pos=NULL" does not work when I used plot.prevalence.msm()
- Issue#119yinglittxs2025-10-26 10:20"legend.pos=NULL" does not work when I used plot.prevalence.msm()
- Issue comment#118yinglittxs2025-10-18 08:58In factorcov2numeric.msm(covariates，x，mod)Covariate "BMI categl'unknown,ignoring
- Issue#118yinglittxs2025-10-18 08:54In factorcov2numeric.msm(covariates，x，mod)Covariate "BMI categl'unknown,ignoring
- Issue comment#118yinglittxs2025-10-17 13:09In factorcov2numeric.msm(covariates，x，mod)Covariate "BMI categl'unknown,ignoring
- Issue comment#5yinglittxs2025-09-29 13:13numerical overflow in calculating likelihood
- Issue comment#5chjackson2025-09-29 08:12numerical overflow in calculating likelihood
- Issue comment#5yinglittxs2025-09-29 04:52numerical overflow in calculating likelihood
- Issue comment#117ellessenne2025-09-18 13:32Likelihood of models with constant vs piece-wise constant rates
- Issue comment#117chjackson2025-09-18 13:08Likelihood of models with constant vs piece-wise constant rates
- Issue comment#115chjackson2025-08-26 10:23How does Markov model treats missing data.
- Issue#115chjackson2025-08-26 10:23How does Markov model treats missing data.
- Issue#116iftikharhusnain2025-08-22 09:50Missing data in Markov Model
- Issue comment#114calsmallory2025-07-23 14:43Bug in transition probability matrix
- Issue comment#114chjackson2025-07-23 14:41Bug in transition probability matrix
- Issue comment#113luck9992025-05-09 00:58Intermittently-observed data
- Issue comment#113chjackson2025-05-07 06:40Intermittently-observed data
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 24 stars here means stars gained during the window, not the repo's star count.