Companion

Allows static computation of complementary cdf function assumes that distribution's range is {0,1, ..., n} Uses the recursive logarithmic algorithm

Allows static computation of complementary cdf function assumes that distribution's range is {0,1, ...,n}

Allows static computation of the CDF assumes that distribution's range is {0,1, ...,n} Uses the recursive logarithmic algorithm

Allows static computation of the CDF assumes that distribution's range is {0,1, ..., n}

Returns the quantile associated with the supplied probability, x assumes that distribution's range is {0,1, ..., n} Uses the recursive logarithmic algorithm

Returns the quantile associated with the supplied probability, x assumes that distribution's range is {0,1, ...,n}

Allows static computation of 1st order loss function assumes that distribution's range is {0,1, ..., n} Uses the recursive logarithmic algorithm

Allows static computation of 1st order loss function assumes that distribution's range is {0,1, ...,n}

Allows static computation of 2nd order loss function assumes that distribution's range is {0,1, ..., n} Uses the recursive logarithmic algorithm

Allows static computation of 2nd order loss function assumes that distribution's range is {0,1, ...,n}

Allows static computation of prob mass function assumes that distribution's range is {0,1, ..., n} Uses the recursive logarithmic algorithm

Allows static computation of prob mass function assumes that distribution's range is {0,1, ..., n}

Approximates the quantile of x using a normal distribution

Computes the probability mass function at j using a recursive (iterative) algorithm using logarithms

Computes the probability mass function at j using a recursive (iterative) algorithm using logarithms