Welcome!

Sign in with your CogSci, Facebook, Google, or Twitter account.

Or register to create a new account.

We'll use your information only for signing in to this forum.

Supported by

Bayesian One sample t-test gives NaN for error%

Bayesian One sample t-test gives NaN for error% when I do it One-sided (i.e., bigger than > 0) but it gives an error when I do two-sided. Why?

Best regards
Ester

One-sided (>0) Bayesian One Sample T-Test: d BF₊₀ = 2485, error % NaN

Two-sided Bayesian One Sample T-Test: d BF₁₀ = 1242, error % 5.005e -6

Comments

  • EJEJ Posts: 427

    Hi Ester,

    The one-sided BF is calculated by departing from the two-sided BF and then adding a correcting factor. The correction factor is close to its maximum value, which might produce the problem. I'll bring it to the addition of the programming team on GitHub.

    Cheers,
    E.J.

  • esterester Posts: 2

    Thanks, that is what I suspected. I guess I can write error approx to 0, for the moment.

  • EJEJ Posts: 427

    The error is so small that I would not even report it.
    E.J.

Sign In or Register to comment.