sim_n_mixture: Normal mixture sampling
In calliste-fagard-jenkin/GAI: Generalised Abundance Index for Seasonal Invertibrates
sim_n_mixture R Documentation
Normal mixture sampling
Description
produces samples from a mixture of n normal distributions.
Usage
sim_n_mixture(n, par, skeleton = NULL)
Arguments
n
The number of samples to generate
par
A list of parameter values. The first entry contains the
skeleton
An object which helps to relist the vector of parameters into
the expected format.means of each component, the second the SDs, and the last
contains the weights. An exponential link is applied to the
SDs, and the probs_link function is used on the weights.
probs_link is simply a variant of the qlogis link
Value
A vector of n generated normal-mixture samples.
calliste-fagard-jenkin/GAI documentation built on July 26, 2022, 11:20 a.m.
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| sim_n_mixture | R Documentation |
Normal mixture sampling
Description
produces samples from a mixture of n normal distributions.
Usage
sim_n_mixture(n, par, skeleton = NULL)
Arguments
n |
The number of samples to generate |
par |
A list of parameter values. The first entry contains the |
skeleton |
An object which helps to relist the vector of parameters into the expected format.means of each component, the second the SDs, and the last contains the weights. An exponential link is applied to the SDs, and the probs_link function is used on the weights. probs_link is simply a variant of the qlogis link |
Value
A vector of n generated normal-mixture samples.
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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