rgpd_k1_minmax: rgpd for gpd_k1 but with maxlik xi within bounds
In fitdistcp: Distribution Fitting with Calibrating Priors for Commonly Used Distributions
View source: R/120b_gpd_k1_libs.R
rgpd_k1_minmax R Documentation
rgpd for gpd_k1 but with maxlik xi within bounds
Description
rgpd for gpd_k1 but with maxlik xi within bounds
Usage
rgpd_k1_minmax(nx, kloc, sigma, xi, minxi = -0.45, maxxi = 0.45)
Arguments
nx
length of training data
kloc
the known location parameter
sigma
the sigma parameter of the distribution
xi
the shape parameter of the distribution
minxi
minimum value of shape parameter xi
maxxi
maximum value of shape parameter xi
Value
Vector
fitdistcp documentation built on June 8, 2025, 1:04 p.m.
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View source: R/120b_gpd_k1_libs.R
| rgpd_k1_minmax | R Documentation |
rgpd for gpd_k1 but with maxlik xi within bounds
Description
rgpd for gpd_k1 but with maxlik xi within bounds
Usage
rgpd_k1_minmax(nx, kloc, sigma, xi, minxi = -0.45, maxxi = 0.45)
Arguments
nx |
length of training data |
kloc |
the known location parameter |
sigma |
the sigma parameter of the distribution |
xi |
the shape parameter of the distribution |
minxi |
minimum value of shape parameter xi |
maxxi |
maximum value of shape parameter xi |
Value
Vector
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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