llike.GaussModelSD: This is for model.xy. Take the function for the SD, its...
In forestgeo/ctfs: Tools for the Analysis of Forest Dynamics
Description
This is for model.xy. Take the function for the SD, its parameters, and both predicted and observed values of the
dependent variable (pred,obs)
to generate a likelihood. One of the parameters is passed as testparam, for use with metrop1step. The predicted value
for each observation is included, and not calculated from the predicting function.
MINIMUM_SD=.0001
MINIMUM_SD should be set in the program calling model.xy, to adjust it appropriately. If MINSD==0, then the sd can
collapse to a miniscule number and drive the likelihood very high, preventing parameter searches from ever escaping the sd.
Usage
1
2
llike.GaussModelSD(testparam, allparam, whichtest, x, pred, obs, model,
badsd, ...)
forestgeo/ctfs documentation built on May 3, 2019, 6:44 p.m.
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Description
This is for model.xy. Take the function for the SD, its parameters, and both predicted and observed values of the dependent variable (pred,obs) to generate a likelihood. One of the parameters is passed as testparam, for use with metrop1step. The predicted value for each observation is included, and not calculated from the predicting function.
MINIMUM_SD=.0001
MINIMUM_SD should be set in the program calling model.xy, to adjust it appropriately. If MINSD==0, then the sd can collapse to a miniscule number and drive the likelihood very high, preventing parameter searches from ever escaping the sd.
Usage
1 2 | llike.GaussModelSD(testparam, allparam, whichtest, x, pred, obs, model,
badsd, ...)
|
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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