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log skew normal computation

I want to compute probabilities assuming data have log normal and log skew normal distribution (in R). As I couldn't find any package that directly computes log skew normal (as plnorm does log normal), I am wondering, if I can get log normal with pnorm, for example to compute log normal probability at point 2 with mean=2 and sd=3:

plnorm(2,2,3)
pnorm(log(2),2,3)

can I use psn to compute skew-log-normal probability at point 2 with mean=2, sd=3 and skewness=1:

psn(log(2), xi=2, omega=3, alpha=1, tau=0, dp=NULL)

or I need some other transformations of the mean/sd/skewness before I apply it? In case I need to transform it first, didnt I need some transformations also in plnorm, instead of just putting mean and sd?

log skew normal computation

I want to compute probabilities assuming data have log normal and log skew normal distribution (in R). As I couldn't find any package that directly computes log skew normal (as plnorm does log normal), I am wondering, if I can get log normal with pnorm, for example to compute log normal probability at point 2 with mean=2 and sd=3:

plnorm(2,2,3)
pnorm(log(2),2,3)

can I use psn to compute skew-log-normal probability at point 2 with mean=2, sd=3 and skewness=1:

psn(log(2), xi=2, omega=3, alpha=1, tau=0, dp=NULL)

or I need some other transformations of the mean/sd/skewness before I apply it? In case I need to transform it first, didnt I need some transformations also in plnorm, instead of just putting mean and sd?

skew normal computation

I want to compute probabilities assuming data have log skew normal distribution (in R). As I couldn't find any package that directly computes log skew normal (as plnorm does log normal), I am wondering, if I can get log normal with pnorm, for example to compute log normal probability at point 2 with mean=2 and sd=3:

plnorm(2,2,3)
pnorm(log(2),2,3)

can I use psn to compute skew-log-normal probability at point 2 with mean=2, sd=3 and skewness=1:

psn(log(2), xi=2, omega=3, alpha=1, tau=0, dp=NULL)

or I need some other transformations of the mean/sd/skewness before I apply it? In case I need to transform it first, didnt I need some transformations also in plnorm, instead of just putting mean and sd?

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kjetil b halvorsen ♦
kjetil b halvorsen ♦
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iI want to compute probabilities assuming data have log normal and log skew normal distribution (in R). As iI couldn't find any package that directly computes log skew normal (as plnorm does log normal), iI am wondering, if iI can get log normal with pnorm, for example to compute log normal probability at point 2 with mean=2 and sd=3:

plnorm(2,2,3)
pnorm(log(2),2,3)

can iI use psn to compute skew-log-normal probability at point 2 with mean=2, sd=3 and skewness=1:

psn(log(2), xi=2, omega=3, alpha=1, tau=0, dp=NULL)

or iI need some other transformations of the mean/sd/skewness before iI apply it? In case iI need to transform it first, didnt iI need some transformations also in plnorm, instead of just putting mean and sd? Thanks!

i want to compute probabilities assuming data have log normal and log skew normal distribution (in R). As i couldn't find any package that directly computes log skew normal (as plnorm does log normal), i am wondering, if i can get log normal with pnorm, for example to compute log normal probability at point 2 with mean=2 and sd=3:

plnorm(2,2,3)
pnorm(log(2),2,3)

can i use psn to compute skew-log-normal probability at point 2 with mean=2, sd=3 and skewness=1:

psn(log(2), xi=2, omega=3, alpha=1, tau=0, dp=NULL)

or i need some other transformations of the mean/sd/skewness before i apply it? In case i need to transform it first, didnt i need some transformations also in plnorm, instead of just putting mean and sd? Thanks!

I want to compute probabilities assuming data have log normal and log skew normal distribution (in R). As I couldn't find any package that directly computes log skew normal (as plnorm does log normal), I am wondering, if I can get log normal with pnorm, for example to compute log normal probability at point 2 with mean=2 and sd=3:

plnorm(2,2,3)
pnorm(log(2),2,3)

can I use psn to compute skew-log-normal probability at point 2 with mean=2, sd=3 and skewness=1:

psn(log(2), xi=2, omega=3, alpha=1, tau=0, dp=NULL)

or I need some other transformations of the mean/sd/skewness before I apply it? In case I need to transform it first, didnt I need some transformations also in plnorm, instead of just putting mean and sd?

Source Link
ZAD
ZAD
  • 41
  • 3

log skew normal computation

i want to compute probabilities assuming data have log normal and log skew normal distribution (in R). As i couldn't find any package that directly computes log skew normal (as plnorm does log normal), i am wondering, if i can get log normal with pnorm, for example to compute log normal probability at point 2 with mean=2 and sd=3:

plnorm(2,2,3)
pnorm(log(2),2,3)

can i use psn to compute skew-log-normal probability at point 2 with mean=2, sd=3 and skewness=1:

psn(log(2), xi=2, omega=3, alpha=1, tau=0, dp=NULL)

or i need some other transformations of the mean/sd/skewness before i apply it? In case i need to transform it first, didnt i need some transformations also in plnorm, instead of just putting mean and sd? Thanks!