PhD research
Rerun your analyses across every reasonable model choice.
Antinuous maps the papers around your question, reproduces published results and reruns your analyses across every model choice. Each result is code you can check line by line.
Use cases
Run and rerun your analyses in code
Your analysis plan changes after every supervisor meeting, and rerunning models by hand invites mistakes.
You ask
Here is my survey data as a CSV and my preregistration PDF. Fit the mixed-effects model from section 4, then rerun it under every reasonable exclusion rule as a multiverse analysis and compare the estimates.
What it does
- Antinuous reads the analysis plan in your preregistration.
- It installs the statistics packages it needs, then loads your data and writes the model code in its workspace.
- It runs every version of the model and charts the estimates side by side.
- It writes an analysis notebook that explains each result and links to the code that produced it.
You get
A notebook with code, charts and a summary you can check line by line.
Each change to the plan reruns the same cycle.
Who it's for
PhD studentsMap the literature around your question and find open gaps.
Master's studentsPlan how many participants your study needs.
PostdocsReproduce published results and list where they differ.
Research assistantsRun and rerun analyses in code you can check.
Works with
PubMed
arXiv
GitHub
Gmail
Google Calendar
Google Slides