DwelltimeProfiles¶

lumicks.pylake.population.dwelltime.DwelltimeProfiles

class DwelltimeProfiles(model: lumicks.pylake.population.dwelltime.DwelltimeModel, profiles: Dict[str, lumicks.pylake.fitting.profile_likelihood.ProfileLikelihood1D])¶

Profile likelihoods for a dwelltime model.

Important

This class should be initialized using lk.DwelltimeModel.profile_likelihood() and should not be constructed manually.

Warning

This is early access alpha functionality. While usable, this has not yet been tested in a large number of different scenarios. The API can still be subject to change without any prior deprecation notice! If you use this functionality keep a close eye on the changelog for any changes that may affect your analysis.

model¶

Model used to estimate profile likelihoods.

Type: DwelltimeModel

profiles¶

Dictionary of parameters with associated profiles.

Type: dict of ProfileLikelihood1D

get_interval(key, component, alpha=None)¶

Calculate confidence interval for a particular parameter.

Parameters

key ({'amplitude', 'lifetime'}) – Name of the parameter to be analyzed
component (int) – Index of the component to be analyzed
alpha (float, optional) – Significance level. Confidence intervals are calculated as 100 * (1 - alpha)%.

Returns

lower_bound (float, optional) – Lower bound of the confidence interval.
upper_bound (float, optional) – Upper bound of the confidence interval. If a bound cannot be determined (either due to an insufficient number of steps or lack of information in the data, the bound is given as None).

plot(alpha=None)¶

Plot the profile likelihoods for the parameters of a model.

Confidence interval is indicated by the region where the profile crosses the chi squared threshold.

Parameters: alpha (float, optional) – Significance level. Confidence intervals are calculated as 100 * (1 - alpha)%. The default value of None results in using the significance level applied when profiling (default: 0.05).

property n_components¶: Number of components in the model.