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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