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Description
Description
Functions such as bernoulli_cdf
and bernoulli_pmf
only accept integer values. This is mathematically imprecise, as CDFs and PMFs should be defined for all real numbers (e.g., pbinom
and dbinom
in R
accept non-integer values).
This is a problem, e.g., if you have a matrix Y
of values where each column has a different distribution (e.g., first column is Gaussian, second column is Bernoulli). Such constructs are necessary to create a general Gaussian copula function.
Example
binomial_cdf(0.5, 0.75);
Expected Output
0.25
Currently, no code will compile if a non-integer value is input as the first argument to binomial_cdf(0.5, 0.75)
.
Current Version:
v4.0.1
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