RMVMR
RMVMR is being tidied in lockstep with MVMR, the package it wraps
A side-by-side editorial comparison of fasster and monitOS — release velocity, themes, recent moves, and the top alternatives to consider.
fasster arrives as a fable-compatible state space model for switching seasonality.
fasster implements FASSTER, a state space model with a switching component in the measurement equation, aimed at series carrying several seasonal patterns and abrupt structural change. Version 0.2.0 is the first substantive release: a formula interface with trend(), season(), fourier(), ARMA() and xreg() plus the %S% switching and %?% conditional operators, and the full fable method set. Parameters come from a filtering-and-smoothing heuristic rather than full optimisation.
monitOS relicenses to MIT, the clearest signal in a sparse Novartis release feed.
monitOS is Novartis's R package for monitoring overall survival in clinical trials, with an accompanying Shiny app. The 0.1.6 release changes the licence to MIT, fixes a shiny import problem and an infinite-value bug in the app, and adds spell checking plus issue-tracker and website links. The prior release carries no notes at all beyond a link to the commit history.
fasster implements FASSTER, a state space model with a switching component in the measurement equation, aimed at series carrying several seasonal patterns and abrupt structural change. Version 0.2.0 is the first substantive release: a formula interface with trend(), season(), fourier(), ARMA() and xreg() plus the %S% switching and %?% conditional operators, and the full fable method set. Parameters come from a filtering-and-smoothing heuristic rather than full optimisation.
The package sat at a 2018 development version for over seven years, so the news is that it exists as a usable model at all. Implementing the whole fable contract — forecast(), refit(), stream(), interpolate(), components() — means it slots into an existing forecasting workflow instead of asking for its own. The heuristic estimator is the open question these entries leave unanswered.
The obvious next step is supplementing the heuristic parameter estimates with proper optimisation, though the two entries here give no direct signal on timing.
monitOS is Novartis's R package for monitoring overall survival in clinical trials, with an accompanying Shiny app. The 0.1.6 release changes the licence to MIT, fixes a shiny import problem and an infinite-value bug in the app, and adds spell checking plus issue-tracker and website links. The prior release carries no notes at all beyond a link to the commit history.
For a package published by a pharmaceutical sponsor, the licence change is the substantive item — MIT removes friction for reuse outside Novartis, and the added issue link and website point the same way, toward outside users. Everything else is packaging hygiene. At 0.1.6 with two releases nine months apart, the statistical methodology looks settled while the distribution around it is being tidied.
The open-sourcing signals suggest the next release will respond to outside issue reports; the entries give no indication of methodology 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 fasster or monitOS.
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 fasster alternatives → · See all monitOS alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. fasster and monitOS 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. fasster and monitOS 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.
Top fasster alternatives in Analytics are ranked by recent ship velocity. Browse the "fasster alternatives" section above for the current picks, or visit /alternatives/fasster for the full list with editorial commentary on each.
Top monitOS alternatives in Analytics are ranked by recent ship velocity. Browse the "monitOS alternatives" section above for the current picks, or visit /alternatives/monitos for the full list with editorial commentary on each.