meridian.model.prior_distribution.lognormal_dist_from_mean_std

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Define a lognormal distribution from its mean and standard deviation.

meridian.model.prior_distribution.lognormal_dist_from_mean_std(
    mean: (float | Sequence[float]), std: (float | Sequence[float])
) -> backend.tfd.LogNormal

This function parameterizes lognormal distributions by their mean and standard deviation.

Args
mean	A float or array-like object defining the distribution mean. Must be positive.
std	A float or array-like object defining the distribution standard deviation. Must be non-negative.

Returns
A backend.tfd.LogNormal object with the input mean and standard deviation.