n2kanalysis
n2kanalysis has spent eight years wiring INLA models to an S3 bucket.
Comparison · Analytics
mrbayes vs tidypolars
A side-by-side editorial comparison of mrbayes and tidypolars — release velocity, themes, recent moves, and the top alternatives to consider.
mrbayes vs tidypolars: at a glance
What is mrbayes?
mrbayes spent 2026 auditing its own Bayesian MR estimators for coding errors.
mrbayes wraps Stan and JAGS implementations of Bayesian Mendelian randomization estimators — IVW, MR-Egger, radial Egger, and their multivariable forms. Most of the visible history is packaging work: dependency trimming, conditional examples so the package installs where JAGS will not compile, a maintainer handover. The 0.5.3 release in July 2026 breaks that pattern with a dense list of fixes inside the model code itself.
What is tidypolars?
tidypolars is grinding toward complete dplyr coverage, one supported function at a time
tidypolars lets you write dplyr and tidyr syntax against Polars DataFrames and LazyFrames. Its releases follow a fixed shape: raise the required polars version, add a handful of newly supported R functions and arguments, fix places where behaviour diverges from dplyr. Recent additions run from %notin% and as.integer() to .before/.after in mutate() and time zone handling in datetime parsing. Cadence is roughly every six to ten weeks and has not varied.
mrbayes vs tidypolars: editorial side-by-side
mrbayes
0.0ANALYTICS
mrbayes spent 2026 auditing its own Bayesian MR estimators for coding errors.
◆ Current state
mrbayes wraps Stan and JAGS implementations of Bayesian Mendelian randomization estimators — IVW, MR-Egger, radial Egger, and their multivariable forms. Most of the visible history is packaging work: dependency trimming, conditional examples so the package installs where JAGS will not compile, a maintainer handover. The 0.5.3 release in July 2026 breaks that pattern with a dense list of fixes inside the model code itself.
◆ Where it's heading
The package has moved from packaging upkeep into a correctness-audit phase. 0.5.3 fixes a hardcoded three-exposure loop in MVMR-Egger reporting, a broken joint-prior branch, a sigma parameterization error in radial Egger, and several prior specifications — the profile of a maintainer reading their own model files closely rather than responding to bug reports. Platform work continues underneath: an R 4.3.0 floor inherited through a transitive dependency chain, and segfault fixes on macOS ARM.
◆ Prediction
Expect further audit-driven patches to the remaining rjags and Stan model files rather than new estimators; the fixes in 0.5.3 cluster in the Egger variants, which suggests that is where the reading is still in progress.
tidypolars
0.0ANALYTICS
tidypolars is grinding toward complete dplyr coverage, one supported function at a time
◆ Current state
tidypolars lets you write dplyr and tidyr syntax against Polars DataFrames and LazyFrames. Its releases follow a fixed shape: raise the required polars version, add a handful of newly supported R functions and arguments, fix places where behaviour diverges from dplyr. Recent additions run from %notin% and as.integer() to .before/.after in mutate() and time zone handling in datetime parsing. Cadence is roughly every six to ten weeks and has not varied.
◆ Where it's heading
Coverage is the whole strategy, and the target has been widening from dplyr into tidyr — unnest_longer_polars(), separate_longer_delim_polars() and separate_longer_position_polars() bring list-column and string-splitting verbs that have no Polars-idiomatic equivalent in the tidyverse dialect. The other consistent thread is fidelity: distinct() dropping unselected columns, summarize() dropping the last group, relocate() honouring tidy-select helpers, NULL in mutate() behaving as dplyr does. Each of these is a small breaking change made to match the reference rather than to differ from it.
◆ Prediction
The pattern of tracking the polars floor upward every release and following tidyverse changes closely — .by in fill() arrived when tidyr 1.3.2 shipped it — suggests the next releases continue mirroring new dplyr and tidyr arguments rather than adding a distinct capability.
Alternatives to mrbayes and tidypolars
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 mrbayes or tidypolars.
n1qn1c
A Fortran-descended optimizer got thread-safe, then found two flags that never worked.
ggstatsplot
ggstatsplot reached 1.0 by adding tests, having outsourced its statistics years ago.
collapse
collapse got a JSS paper and a 7x fmean speedup in the same release.
gtsummary
gtsummary is quietly rebuilding itself around analysis results data, one table verb at a time.
broadcast
broadcast is filling in NumPy-style array broadcasting for R, operator by operator.
See all mrbayes alternatives → · See all tidypolars alternatives →
Recent activity from mrbayes and tidypolars
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agomrbayesEstimator audit fixes MVMR-Egger loops and radial Egger sigma
- 1mo agotidypolarstidypolars 0.19.0
- 4mo agotidypolarstidypolars 0.18.0
- 6mo agotidypolarstidypolars 0.17.0
- 6mo agotidypolarstidypolars 0.16.0
- 9mo agotidypolarstidypolars 0.15.1
- 9mo agotidypolarstidypolars 0.15.0
- 1y agomrbayesMVMR rjags example gated on rjags being installed
- 1y agomrbayesExamples and tests skip when rstan or rjags is missing
- 1y agomrbayespkgdown site updated
- 1y agomrbayesHelper command added for installing JAGS
- 1y agomrbayesDependency surface trimmed; maintainer handover
Frequently asked questions
What is the difference between mrbayes and tidypolars?
They serve adjacent needs but don't currently overlap on shipped themes. mrbayes and tidypolars are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Is mrbayes better than tidypolars?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. mrbayes and tidypolars are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
What are the best alternatives to mrbayes?
Top mrbayes alternatives in Analytics are ranked by recent ship velocity. Browse the "mrbayes alternatives" section above for the current picks, or visit /alternatives/mrbayes for the full list with editorial commentary on each.
What are the best alternatives to tidypolars?
Top tidypolars alternatives in Analytics are ranked by recent ship velocity. Browse the "tidypolars alternatives" section above for the current picks, or visit /alternatives/tidypolars for the full list with editorial commentary on each.