GLognormal: Class definition to control lognormal distribution

In ShinsukeSakai0321/LimitState: Package supporting FORM approach

Usage

lnorm<-GLognormal$new(mu=350.25,sigmma=105.075)

Format

SetParam(lambda=lambda,zeta=zeta) Setting lognormal parameters and calculating mu and sigm. lambda: mean of lnorm, zeta: std. of lnorm Param(): Calculating lambda and mu Eq(x): Calculating equivalent normal distribution for adujusting point x

Examples

#fundamental usage
lnorm<-GLognormal$new(mu=350.25,sigmma=105.075)
res<-lnorm$Param()
cat("lambda=",res[2],",zeta=",res[1])
# lambda= 5.815558 ,zeta= 0.2935604
#example: giving lambda and eta parameters and returning mu,sigm
lambda<- 5.815558 ;zeta<- 0.2935604
res2<-lnorm$SetParam(lambda=lambda,zeta=zeta)
cat("mu=",res2[1],",sigm=",res2[2])
# mu= 350.2499 ,sigm= 105.075
#Calculating equivalent norm distribution
xval<-0.5
res3<-lnorm$Eq(X=xval)
cat("mu_eq=",res3[1],",sig_eq=",res3[2])
# mu_eq= 3.754353 ,sig_eq= 0.1467802

ShinsukeSakai0321/LimitState documentation built on Dec. 26, 2019, 11:31 a.m.