logistic.power_simple: This is a mixture of logistic and logistic-standard models....
In forestgeo/ctfs: Tools for the Analysis of Forest Dynamics
Description
This is a mixture of logistic and logistic-standard models. The predictors n
get a power model, the remaining a simple model. So if nopredictors==8, and
n=c(1,7), then the first and seventh predictors use a power model, while the
rest a simple model.
There must be 1+length(n)+nopredictors parameters, plus additional 1 or 2 for
asymptote and basement.
Usage
1
logistic.power_simple(x, param, log = FALSE, N = 1, ...)
Arguments
...
Unused.
forestgeo/ctfs documentation built on May 3, 2019, 6:44 p.m.
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Description
This is a mixture of logistic and logistic-standard models. The predictors n get a power model, the remaining a simple model. So if nopredictors==8, and n=c(1,7), then the first and seventh predictors use a power model, while the rest a simple model.
There must be 1+length(n)+nopredictors parameters, plus additional 1 or 2 for asymptote and basement.
Usage
1 | logistic.power_simple(x, param, log = FALSE, N = 1, ...)
|
Arguments
... |
Unused. |
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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