RMVMR
RMVMR is being tidied in lockstep with MVMR, the package it wraps
A side-by-side editorial comparison of clinify and posteriordb-r — release velocity, themes, recent moves, and the top alternatives to consider.
Clinical-table typesetting for R, closing the gap between R output and regulatory Word documents
clinify renders clinical trial tables into Word documents through {officer}, aiming at the layout conventions regulatory submissions expect. 0.4.0 is the current CRAN release and folds in an unreleased 0.3.1. The recent work is almost entirely about header and spacing control: which adjacent header cells merge, where the rule under a spanner starts and stops, and how much vertical space sits above, below and between header rows and the table body.
posteriordb's R client ships a test-file fix and nothing else.
posteriordb-r is the R interface to the posteriordb collection of reference Bayesian posteriors, used for benchmarking inference algorithms. The single release in view fixes Stan syntax in test files. Neither the posterior collection nor the client API changes.
clinify renders clinical trial tables into Word documents through {officer}, aiming at the layout conventions regulatory submissions expect. 0.4.0 is the current CRAN release and folds in an unreleased 0.3.1. The recent work is almost entirely about header and spacing control: which adjacent header cells merge, where the rule under a spanner starts and stops, and how much vertical space sits above, below and between header rows and the table body.
The package is moving from producing a correct table toward producing one that survives an organisation's house style. 0.4.0's additions are all written to hold under a customised `clinify_table_default()` — `clin_spanner_rule()` draws after the default styling function so it persists when a house style clears the borders it started from, and takes an `officer::fp_border()` or `FALSE` so a style can decline the rule entirely. The earlier 0.3.0 line did the structural work, introducing `clindoc()` document objects that accept multiple tables plus automatic pagination.
Expect continued refinement of layout primitives that follow the table rather than fixed column numbers, since both new 0.4.0 functions were built specifically to track spanners and headers as a layout changes. The entries do not indicate a move beyond Word output.
posteriordb-r is the R interface to the posteriordb collection of reference Bayesian posteriors, used for benchmarking inference algorithms. The single release in view fixes Stan syntax in test files. Neither the posterior collection nor the client API changes.
One patch-level entry gives little to read. What it does say is that upkeep here tracks Stan's evolving syntax rather than the database's contents — the client's job is to stay compatible with the language the reference models are written in. Whether the collection itself is growing is not visible from this feed.
Expect further compatibility patches as Stan syntax deprecations land; the entries give no signal on new posteriors or API changes.
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 clinify or posteriordb-r.
RMVMR is being tidied in lockstep with MVMR, the package it wraps
geoarrow tracks the GeoArrow spec and otherwise just keeps compiling
n2khab keeps retracting interpretations of habitat data it can't actually support
tidypolars is grinding toward complete dplyr coverage, one supported function at a time
OneSampleMR found that argument order in a formula was silently changing its estimates
bpbounds found the same swapped-cell bug twice and clamped its bounds back into range
See all clinify alternatives → · See all posteriordb-r alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. clinify 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. clinify 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.
Top clinify alternatives in Analytics are ranked by recent ship velocity. Browse the "clinify alternatives" section above for the current picks, or visit /alternatives/clinify-r for the full list with editorial commentary on each.
Top posteriordb-r alternatives in Analytics are ranked by recent ship velocity. Browse the "posteriordb-r alternatives" section above for the current picks, or visit /alternatives/posteriordb-r-r for the full list with editorial commentary on each.