logLikMulti: Computes log-likelihood for many data samples and specified...
In mcullan/ecic:
Description
Usage
Arguments
Value
Examples
Description
Computes log-likelihood for many data samples and specified model.
Usage
1
logLikMulti(model, data, compress = F)
Arguments
data:
A matrix of data samples compatible with the model.
model:
A string containing the model name.
ic:
String giving information criterion to use (e.g. 'AICc', 'BIC')
Value
: A list containing the following:.
Examples
1
2
data = GenerateDataMulti(25, "norm", c(0.3, 1.2), 100)
logLikMulti(data, "norm")
mcullan/ecic documentation built on Sept. 3, 2019, 9:57 a.m.
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Description Usage Arguments Value Examples
Description
Computes log-likelihood for many data samples and specified model.
Usage
1 | logLikMulti(model, data, compress = F)
|
Arguments
data: |
A matrix of data samples compatible with the model. |
model: |
A string containing the model name. |
ic: |
String giving information criterion to use (e.g. 'AICc', 'BIC') |
Value
: A list containing the following:.
Examples
1 2 | data = GenerateDataMulti(25, "norm", c(0.3, 1.2), 100)
logLikMulti(data, "norm")
|
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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