fitiweibull: Fitting the gamma distribution
In ERPeq: Probabilistic Hazard Assessment
fitiweibull R Documentation
Fitting the gamma distribution
Description
Fitting the gamma distribution
Usage
fitiweibull(starts, data)
Arguments
starts
A vector defining the starting values for the Nelder-Mead algorithm.
data
A vector containing the observations
Value
List the estimated parameters of the distribution with standard errors and goodness-of-fit statistics.
Examples
set.seed(7)
data=rgamma(500,shape=1,scale=1)
fitiweibull(starts =c(0.5,0.5),data=data)
ERPeq documentation built on July 9, 2023, 5:27 p.m.
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| fitiweibull | R Documentation |
Fitting the gamma distribution
Description
Fitting the gamma distribution
Usage
fitiweibull(starts, data)
Arguments
starts |
A vector defining the starting values for the Nelder-Mead algorithm. |
data |
A vector containing the observations |
Value
List the estimated parameters of the distribution with standard errors and goodness-of-fit statistics.
Examples
set.seed(7)
data=rgamma(500,shape=1,scale=1)
fitiweibull(starts =c(0.5,0.5),data=data)
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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