sigma2_cnb: Variance of Conditional Negative Binomial
In cnbdistr: Conditional Negative Binomial Distribution
Description
Usage
Arguments
Details
Value
Author(s)
See Also
Examples
Description
Function calculating variance of the conditional distribution of X given X + Y = D,
where X ~ NB(r1, p1) and Y ~ NB(r2, p2) are drawn from two negative binomials,
independent of each other,
and assuming p1/p2 = lambda.
Usage
1
sigma2_cnb(D, r1, r2, lambda)
Arguments
D
a positive integer.
r1
a positive value.
r2
a positive value.
lambda
a positive value.
Details
Need to specify full list of arguments, as default values have not been set.
Value
V(X | X + Y = D).
Author(s)
Xiaotian Zhu, xiaotian.zhu.psualum@gmail.com
See Also
Examples
1
sigma2_cnb(7, 2, 0.4, 0.6)
cnbdistr documentation built on May 2, 2019, 4:26 a.m.
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Description Usage Arguments Details Value Author(s) See Also Examples
Description
Function calculating variance of the conditional distribution of X given X + Y = D, where X ~ NB(r1, p1) and Y ~ NB(r2, p2) are drawn from two negative binomials, independent of each other, and assuming p1/p2 = lambda.
Usage
1 | sigma2_cnb(D, r1, r2, lambda)
|
Arguments
D |
a positive integer. |
r1 |
a positive value. |
r2 |
a positive value. |
lambda |
a positive value. |
Details
Need to specify full list of arguments, as default values have not been set.
Value
V(X | X + Y = D).
Author(s)
Xiaotian Zhu, xiaotian.zhu.psualum@gmail.com
See Also
Examples
1 | sigma2_cnb(7, 2, 0.4, 0.6)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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