hhimanshu-jha/experiment-inference-sanityv0.1.0Public
Experiment inference sanity
Runs a repeatable pre-decision gate over a binary two-arm experiment: sample-ratio mismatch, absolute effect with confidence interval, power against the prespecified MDE, and sequential-look plus family-wise multiple-testing claims.
Read the full description
Four independent statistical probes feed a join that blocks a launch claim when assignment integrity or adjusted significance fails, while distinguishing underpowered or direction-uncertain evidence as review work. It is deterministic, offline, and read-only. Calculations use transparent large-sample normal approximations and diagnostic O’Brien-Fleming/Bonferroni/Holm checks; they do not replace a prespecified design, variance-reduction model, clustered analysis, or domain decision cost.
Before you run it1 local tool
Everything here is checked on your machine when rote inspects the play. This page never learns what you have installed or which credentials you hold.
- ○python3local tool
Requires >=3.8. Run rote play inspect to check your host; unverified versions remain unknown.
Inputs1, all optional
rote asks for these before running and shows the defaults it will use.
- Input
inputJSON with planned allocation, binary arm counts, alpha, MDE, desired power, sequential looks, and metric p-values. Empty uses the packaged cautionary demo.
optionalstringexample./experiment-summary.jsoncustom value allowed
What it changes
No write operations are declared in this version's manifest.
Credentials remain in the recipient's local rote vault; this page and the publisher never receive them.
Runtime details
- rote CLIversion 0.62.0 or newer
- Servicesnone declared
- Digest
sha256:4ce6731cf5c7857410fb93021c043c330debfdd9c9752f6577774f459f6f1277 - Archive size9102 bytes
- Published2026-09-04T09:01:14.912847+00:00
- Published withrote 0.79.0
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