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
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