compositional.mle
An MLE package rebuilt around composable solvers, then renamed to match.
Comparison · Analytics
modelbpp vs tidycmprsk
A side-by-side editorial comparison of modelbpp and tidycmprsk — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
modelbpp vs tidycmprsk: at a glance
What is modelbpp?
A structural-equation model comparison package whose feed carries links, not release notes.
modelbpp computes model-implied Bayesian posterior probabilities for structural equation models, one of several R packages from the same author covering moderation, mediation and model-comparison workflows. Its release feed is not a changelog: every entry points at the package website rather than describing what changed, so the substance of each release is not visible here. Version numbering has moved steadily from 0.1.x to 0.4.0 across roughly three years.
What is tidycmprsk?
Competing-risks modelling that now moves only when its neighbours do.
tidycmprsk wraps competing risks regression and cumulative incidence estimation in tidy-style output, so results slot into gtsummary tables and ggsurvfit plots. The last two releases are small: 1.1.2 sorts tidy.tidycuminc() output by stratum, 1.1.1 is an HTML5 documentation update for CRAN. The substantive work in the window is 1.1.0, which reorganised the gtsummary relationship.
modelbpp vs tidycmprsk: editorial side-by-side
modelbpp
2.5ANALYTICS
A structural-equation model comparison package whose feed carries links, not release notes.
◆ Current state
modelbpp computes model-implied Bayesian posterior probabilities for structural equation models, one of several R packages from the same author covering moderation, mediation and model-comparison workflows. Its release feed is not a changelog: every entry points at the package website rather than describing what changed, so the substance of each release is not visible here. Version numbering has moved steadily from 0.1.x to 0.4.0 across roughly three years.
◆ Where it's heading
What can be read from this feed is cadence rather than content — releases clustered noticeably more tightly through 2026 than in the preceding two years, with three in five months against two in the prior eighteen. Because the entries carry no detail, any statement about what is being built would be speculation. The pattern of a stable CRAN package accelerating its release rate is the only reliable signal available.
◆ Prediction
The feed does not describe its changes, so the direction of development cannot be read from these entries; the accelerating 2026 cadence is the only thing it supports.
tidycmprsk
0.0ANALYTICS
Competing-risks modelling that now moves only when its neighbours do.
◆ Current state
tidycmprsk wraps competing risks regression and cumulative incidence estimation in tidy-style output, so results slot into gtsummary tables and ggsurvfit plots. The last two releases are small: 1.1.2 sorts tidy.tidycuminc() output by stratum, 1.1.1 is an HTML5 documentation update for CRAN. The substantive work in the window is 1.1.0, which reorganised the gtsummary relationship.
◆ Where it's heading
The package has spent its releases handing responsibilities to neighbouring packages rather than growing its own surface. Plotting was deprecated then made defunct in favour of ggsurvfit::ggcuminc(), and 1.1.0 moved the regression table methods so that gtsummary could drop tidycmprsk as a dependency. What remains is the estimation core plus the S3 methods that let other packages consume it, which is a deliberate narrowing.
◆ Prediction
Expect releases to continue tracking changes in gtsummary and the broader tidy survival stack rather than adding estimation features.
Alternatives to modelbpp and tidycmprsk
Other Analytics products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either modelbpp or tidycmprsk.
nabla
nabla dropped its C++ engine to chase exact derivatives at any order.
snowflakeauth
Eight months from first release to keyring caching and workload identity.
kwb.geosalz
A research-project workflow package where the interesting work is in the plumbing.
cyclocomp
A cyclomatic complexity checker that ships once every couple of years, and lands when it does.
revdbayes
Extreme value sampling in pure upkeep mode, mostly answering to Rcpp and CRAN.
See all modelbpp alternatives → · See all tidycmprsk alternatives →
Recent activity from modelbpp and tidycmprsk
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 29d agomodelbppCRAN Release 0.4.0
- 3mo agomodelbppCRAN Release 0.3.0
- 4mo agotidycmprsktidycmprsk 1.1.2
- 5mo agomodelbppCRAN Release 0.2.0
- 9mo agotidycmprsktidycmprsk 1.1.1
- 1y agotidycmprsktidycmprsk 1.1.0
- 2y agomodelbppCRAN Release 0.1.3
- 2y agotidycmprsktidycmprsk 1.0.0
- 2y agomodelbppCRAN Release 0.1.2
- 3y agotidycmprsktidycmprsk 0.2.0
- 4y agotidycmprsktidycmprsk 0.1.2
Frequently asked questions
What is the difference between modelbpp and tidycmprsk?
Both compete on the same themes — r-package — within Analytics. modelbpp is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Is modelbpp better than tidycmprsk?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. modelbpp is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
What are the best alternatives to modelbpp?
Top modelbpp alternatives in Analytics are ranked by recent ship velocity. Browse the "modelbpp alternatives" section above for the current picks, or visit /alternatives/modelbpp for the full list with editorial commentary on each.
What are the best alternatives to tidycmprsk?
Top tidycmprsk alternatives in Analytics are ranked by recent ship velocity. Browse the "tidycmprsk alternatives" section above for the current picks, or visit /alternatives/tidycmprsk for the full list with editorial commentary on each.