We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Python ArviZ includes the following functionality related to Bayesian hypothesis testing:
plot_posterior
plot_bf
plot_bpv
While these are not part of the stats API in Python ArviZ, we should add them here, with appropriate suggestions/qualifications for their use.
Additionally, in TuringLang/MCMCDiagnosticTools.jl#90 @DominiqueMakowski suggested including the probability of direction, which is related to a p-value on significance of an effect.
See also: bayestestR
The text was updated successfully, but these errors were encountered:
p_direction()
No branches or pull requests
Python ArviZ includes the following functionality related to Bayesian hypothesis testing:
plot_posterior
)plot_bf
)plot_bpv
)While these are not part of the stats API in Python ArviZ, we should add them here, with appropriate suggestions/qualifications for their use.
Additionally, in TuringLang/MCMCDiagnosticTools.jl#90 @DominiqueMakowski suggested including the probability of direction, which is related to a p-value on significance of an effect.
See also: bayestestR
The text was updated successfully, but these errors were encountered: