discrete.mortmodel: A model for mortality as a function of a single discrete...
In forestgeo/ctfs: Tools for the Analysis of Forest Dynamics
Description
A model for mortality as a function of a single discrete predictor, with the time interval for each individual incorporated (as a second predictor).
The predictor must be a factor, so the total number of levels is known. The log(mortality parameter) is modeled as a different value for each distinct predictor. The number of parameters must exceed the maximum value of the predictor.
The return value is a survival probability. Nothing prevents the output from being outside (0,1); that must be handled in the likelihood function.
Usage
1
discrete.mortmodel(x, param)
forestgeo/ctfs documentation built on May 3, 2019, 6:44 p.m.
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Description
A model for mortality as a function of a single discrete predictor, with the time interval for each individual incorporated (as a second predictor).
The predictor must be a factor, so the total number of levels is known. The log(mortality parameter) is modeled as a different value for each distinct predictor. The number of parameters must exceed the maximum value of the predictor.
The return value is a survival probability. Nothing prevents the output from being outside (0,1); that must be handled in the likelihood function.
Usage
1 | discrete.mortmodel(x, param)
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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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