Dear R helpers,

I have a bimodal dataset dealing with loss amounts. I have divided this dataset into two with the bounds for the first dataset i.e. dataset-A being 5,000$ to 100,000$ and the dataset-B deals with the losses exceeding 100,000$ i.e. dataset-B is left truncated. 

I need to fit truncated normal disribution to dataset - I having lower bound of 5000 and upper bound of 100,000. While I need to fit truncated Pareto for the lossess exceeding 100,000$.

Is there any package in R which will guide me to fit these two distrubitions also giving KS (Kolmogorov Smirnov) test and Anderson Darling test results.

Please guide

Julia



************************************************



Only a man of Worth sees Worth in other men



************************************************


      
	[[alternative HTML version deleted]]

