DistributionFits
Documentation for DistributionFits.
DistributionFits.AbstractDistributionFitOptimizer
DistributionFits.AbstractMoments
DistributionFits.AbstractΣstar
DistributionFits.QuantilePoint
DistributionFits.fit_mean_quantile
DistributionFits.fit_mean_relerror
DistributionFits.fit_mean_Σ
DistributionFits.fit_median_quantile
DistributionFits.fit_mode_flat
DistributionFits.fit_mode_quantile
DistributionFits.meanFunOfProb
DistributionFits.moments
DistributionFits.ofLogitNormalModeUpper
DistributionFits.shifloNormal
DistributionFits.σstar
StatsAPI.fit
StatsAPI.fit
StatsAPI.fit
StatsAPI.fit
[comment]: # (```@autodocs)
[comment]: # (Modules = [DistributionFits])
[comment]: # (```)
taken care of in index.md called only internally from fit, documented in docstring via ","
DistributionFits.fit_median_quantile
— Functionfit(D, val, qp, ::Val{stats} = Val(:mean))
Fit a statistical distribution to a quantile and given statistics
Arguments
D
: The type of distribution to fitval
: The value of statisticsqp
: QuantilePoint(q,p)stats
Which statistics to fit: defaults toVal(:mean)
. Alternatives are:Val(:mode)
,Val(:median)
Examples
d = fit(LogNormal, 5.0, @qp_uu(14));
(mean(d),quantile(d, 0.975)) .≈ (5,14)
d = fit(LogNormal, 5.0, @qp_uu(14), Val(:mode));
(mode(d),quantile(d, 0.975)) .≈ (5,14)
DistributionFits.fit_mean_quantile
— Functionfit(D, val, qp, ::Val{stats} = Val(:mean))
Fit a statistical distribution to a quantile and given statistics
Arguments
D
: The type of distribution to fitval
: The value of statisticsqp
: QuantilePoint(q,p)stats
Which statistics to fit: defaults toVal(:mean)
. Alternatives are:Val(:mode)
,Val(:median)
Examples
d = fit(LogNormal, 5.0, @qp_uu(14));
(mean(d),quantile(d, 0.975)) .≈ (5,14)
d = fit(LogNormal, 5.0, @qp_uu(14), Val(:mode));
(mode(d),quantile(d, 0.975)) .≈ (5,14)
DistributionFits.fit_mode_quantile
— Functionfit(D, val, qp, ::Val{stats} = Val(:mean))
Fit a statistical distribution to a quantile and given statistics
Arguments
D
: The type of distribution to fitval
: The value of statisticsqp
: QuantilePoint(q,p)stats
Which statistics to fit: defaults toVal(:mean)
. Alternatives are:Val(:mode)
,Val(:median)
Examples
d = fit(LogNormal, 5.0, @qp_uu(14));
(mean(d),quantile(d, 0.975)) .≈ (5,14)
d = fit(LogNormal, 5.0, @qp_uu(14), Val(:mode));
(mode(d),quantile(d, 0.975)) .≈ (5,14)
internals
DistributionFits.meanFunOfProb
— Functioncompute mean over a function(uniformly distributed probabilities)
used to estimate moments of logitnorm
DistributionFits.ofLogitNormalModeUpper
— Functionobjective function used by matchModeUpper(LogitNormal,...)
[comment]: # (fit(Type{LogNormal}, Any, AbstractΣstar))