NormalIndPower.solve_power(effect_size=None, nobs1=None, alpha=None, power=None, ratio=1.0, alternative='two-sided')
solve for any one parameter of the power of a two sample z-test
exactly one needs to be
None, all others need numeric values
value – The value of the parameter that was set to None in the call. The value solves the power equation given the remaining parameters.
The function uses scipy.optimize for finding the value that satisfies the power equation. It first uses
brentq with a prior search for bounds. If this fails to find a root,
fsolve is used. If
fsolve also fails, then, for
brentq with fixed bounds is used. However, there can still be cases where this fails.
© 2009–2012 Statsmodels Developers
© 2006–2008 Scipy Developers
© 2006 Jonathan E. Taylor
Licensed under the 3-clause BSD License.