pearson7.objective: Compute the negative log likelihood for a sample.
In pearson7: Maximum Likelihood Inference for the Pearson VII Distribution with Shape Parameter 3/2
Description
Usage
Arguments
Details
Value
See Also
Description
Compute the negative log likelihood for a sample.
Usage
1
pearson7.objective(params, y)
Arguments
params
a vector of parameter values.
y
a vector of observations.
Details
This function computes the negative log likelihood for (μ,σ) given a sample. This function can be optimized using optim, but it is better to use pearson7.fit.
Value
the negative log likelihood.
See Also
pearson7 documentation built on July 2, 2020, 3:59 a.m.
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Description Usage Arguments Details Value See Also
Description
Compute the negative log likelihood for a sample.
Usage
1 | pearson7.objective(params, y)
|
Arguments
params |
a vector of parameter values. |
y |
a vector of observations. |
Details
This function computes the negative log likelihood for (μ,σ) given a sample. This function can be optimized using optim, but it is better to use pearson7.fit.
Value
the negative log likelihood.
See Also
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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