Displaying 4 results from an estimated 4 matches for "simpf".
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2007 Apr 23
0
New version of actuar
...the discretized cdf;
  4. first moment matching of the discretized and true distributions.
  Usage is similar to curve() of package 'graphics'. Again, the
  modular conception allows for easy inclusion of additional
  discretization methods.
NEW FEATURES -- CREDIBILITY THEORY
o Function simpf() can now simulate data for hierarchical portfolios
  of any number of levels. Model specification changed completely; see
  the "Deprecated, defunct or no backward compatibility" below. The
  function is also significantly (~10x) faster than the previous
  version.
o Generic function se...
2007 Apr 23
0
New version of actuar
...the discretized cdf;
  4. first moment matching of the discretized and true distributions.
  Usage is similar to curve() of package 'graphics'. Again, the
  modular conception allows for easy inclusion of additional
  discretization methods.
NEW FEATURES -- CREDIBILITY THEORY
o Function simpf() can now simulate data for hierarchical portfolios
  of any number of levels. Model specification changed completely; see
  the "Deprecated, defunct or no backward compatibility" below. The
  function is also significantly (~10x) faster than the previous
  version.
o Generic function se...
2007 Nov 16
0
New version of actuar
...hen the cumulative distribution
     function does not converge to 1.
   o Function cm() gains a 'maxit' argument for the maximum number of
     iterations in pseudo-estimators calculations.
   o Methods of aggregate(), frequency(), severity() and weights() for
     objects of class "simpf" gain two new arguments:
     1. 'classification'; when TRUE, the columns giving the
        classification structure of the portfolio are excluded from the
        result. This eases calculation of loss ratios (aggregate claim
        amounts divided by the weights);
     2. 'pr...
2007 Nov 16
0
New version of actuar
...hen the cumulative distribution
     function does not converge to 1.
   o Function cm() gains a 'maxit' argument for the maximum number of
     iterations in pseudo-estimators calculations.
   o Methods of aggregate(), frequency(), severity() and weights() for
     objects of class "simpf" gain two new arguments:
     1. 'classification'; when TRUE, the columns giving the
        classification structure of the portfolio are excluded from the
        result. This eases calculation of loss ratios (aggregate claim
        amounts divided by the weights);
     2. 'pr...