meridian.model.prior_distribution.lognormal_dist_from_range

Define a LogNormal distribution from a specified range.

meridian.model.prior_distribution.lognormal_dist_from_range(
    low: (float | Sequence[float]),
    high: (float | Sequence[float]),
    mass_percent: (float | Sequence[float]) = 0.95
) -> backend.tfd.LogNormal

This function parameterizes lognormal distributions by the bounds of a range, so that the specified probability mass falls within the bounds defined by low and high. The probability mass is symmetric about the median. For example, to define a lognormal distribution with a 95% probability mass of (1, 10), use:

lognormal = lognormal_dist_from_range(1.0, 10.0, mass_percent=0.95)

low Float or array-like denoting the lower bound of the range. Values must be non-negative.
high Float or array-like denoting the upper bound of range. Values must be non-negative.
mass_percent Float or array-like denoting the probability mass. Values must be between 0 and 1 (exclusive). Default: 0.95.

A backend.tfd.LogNormal object with the input percentage mass falling within the given range.