BAYES_MVS
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The BAYES_MVS node is based on a numpy or scipy function. The description of that function is as follows:
Bayesian confidence intervals for the mean, var, and std. Params: data : array_like Input data, if multi-dimensional it is flattened to 1-D by 'bayes_mvs'.
Requires 2 or more data points. alpha : float Probability that the returned confidence interval contains the true parameter. Returns: out : DataContainer type 'ordered pair', 'scalar', or 'matrix'
Python Code
from flojoy import OrderedPair, flojoy, Matrix, Scalar
import scipy.stats
@flojoy
def BAYES_MVS(
default: OrderedPair | Matrix,
alpha: float = 0.9,
) -> OrderedPair | Matrix | Scalar:
"""The BAYES_MVS node is based on a numpy or scipy function.
The description of that function is as follows:
Bayesian confidence intervals for the mean, var, and std.
Parameters
----------
data : array_like
Input data, if multi-dimensional it is flattened to 1-D by 'bayes_mvs'.
Requires 2 or more data points.
alpha : float, optional
Probability that the returned confidence interval contains the true parameter.
Returns
-------
DataContainer
type 'ordered pair', 'scalar', or 'matrix'
"""
result = OrderedPair(
x=default.x,
y=scipy.stats.bayes_mvs(
data=default.y,
alpha=alpha,
),
)
return result