prob.N1: Probability of observing N2 given N1 (little.r distributed...
In forestgeo/ctfs: Tools for the Analysis of Forest Dynamics
Description
Calculates the probability of observing N2 given N1, assuming a
community-wide distribution of little.r, log(N2/N1). It uses the normal
approximation to the binomial-poisson model (see dpopchange and
testdpopchange in abundsim.r) as the error distribution around N2. Works with
one species at a time, so all submitted values except lambda.ann are scalars.
Only used as a subroutine of the main modeling function, model.littleR.Gibbs.
Usage
1
forestgeo/ctfs documentation built on May 3, 2019, 6:44 p.m.
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Description
Calculates the probability of observing N2 given N1, assuming a community-wide distribution of little.r, log(N2/N1). It uses the normal approximation to the binomial-poisson model (see dpopchange and testdpopchange in abundsim.r) as the error distribution around N2. Works with one species at a time, so all submitted values except lambda.ann are scalars. Only used as a subroutine of the main modeling function, model.littleR.Gibbs.
Usage
1 |
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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