norm.like: Normal Likelihood
In arnima-github/arni: Arni's Toolbox
norm.like R Documentation
Normal Likelihood
Description
Calculate the negative log likelihood for a normal distribution.
Usage
norm.like(obs, fit)
Arguments
obs
vector of observed values.
fit
vector of fitted values.
Value
Negative log likelihood.
Note
The negative log likelihood is calculated as:
-\log L=0.5n\log(2\pi) + n\log\sigma + \frac{RSS}{2\sigma^2}
arnima-github/arni documentation built on Oct. 28, 2023, 6:18 p.m.
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| norm.like | R Documentation |
Normal Likelihood
Description
Calculate the negative log likelihood for a normal distribution.
Usage
norm.like(obs, fit)
Arguments
obs |
vector of observed values. |
fit |
vector of fitted values. |
Value
Negative log likelihood.
Note
The negative log likelihood is calculated as:
-\log L=0.5n\log(2\pi) + n\log\sigma + \frac{RSS}{2\sigma^2}
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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