Dear R helpers,
I have following loss data and I need to fit LEFT truncated Log Normal
distribution to this data which is Truncated at 1000000.
dat =
c(1333834,5710254,9987567,7809469,6940935,3473671,1270209,1102523,1124002,
5830159,4302300,3925242,2638409,2324421,7238436,9088709,7439250,4976551,4864319,
8741334,1863770,7098310,4942288,4971829,4986372)
library(gamlss.tr)
gen.trun(5, LOGNO)
result <- gamlss(dat~1, family=LOGNOtr)
# THIS GIVES
> result
Family: c("LOGNOtr", "left truncated Log Normal")
Fitting method: RS()
Call: gamlss(formula = dat ~ 1, family = LOGNOtr)
Mu Coefficients:
(Intercept)
15.23
Sigma Coefficients:
(Intercept)
-0.3977
Degrees of Freedom for the fit: 2 Residual Deg. of Freedom 23
Global Deviance: 812.568
AIC: 816.568
SBC: 819.006
My problem is how do I extract these values of Mu Coefficients and Sigma
Coefficients, if I want to use these values for further analyses?
Kindly guide
Katherine Gobin
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