llike.GaussModel: This is for model.xy. Generate a likelihood for 'model.xy()'.
In forestgeo/ctfs: Tools for the Analysis of Forest Dynamics
Description
This is for model.xy. It takes the model function, its parameters, x values,
observed values of the dependent variable obs, and sd values, to generate a
likelihood. One of the parameters is passed as testparam, for use with
metrop1step.
This requires a badparam function for testing parameters. The standdard
deviation is passed as an argument, not calculated from sdmodel.
Usage
1
2
llike.GaussModel(testparam, allparam, whichtest, x, obs, model, badpred,
SD, ...)
forestgeo/ctfs documentation built on May 3, 2019, 6:44 p.m.
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Description
This is for model.xy. It takes the model function, its parameters, x values, observed values of the dependent variable obs, and sd values, to generate a likelihood. One of the parameters is passed as testparam, for use with metrop1step.
This requires a badparam function for testing parameters. The standdard deviation is passed as an argument, not calculated from sdmodel.
Usage
1 2 | llike.GaussModel(testparam, allparam, whichtest, x, obs, model, badpred,
SD, ...)
|
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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