run.growthfit.bin: Find best fits for linearmodel.bin, with one set of data and...
In forestgeo/ctfs: Tools for the Analysis of Forest Dynamics
Description
Find best fits for linearmodel.bin, with one set of data and a series of
bins. This starts fit for a bin based on the best fit for the prior bin, thus
always assuring an improved fit. This works best if the first bin=1, which is
just a linear model and easily fit by optim and the Gibbs sampler.
Usage
1
2
3
4
run.growthfit.bin(growthdata, size = "dbh", startpar = c(0.03, 0.005),
startsdpar = c(0.04, 0), sdmodel = linear.model.ctr,
badsdfunc = NULL, binoption = 1:4, noreps = 5000, noburn = 2500,
noshow = 500, ...)
Arguments
...
Arguments passed to growth.flexbin().
forestgeo/ctfs documentation built on May 3, 2019, 6:44 p.m.
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Description
Find best fits for linearmodel.bin, with one set of data and a series of bins. This starts fit for a bin based on the best fit for the prior bin, thus always assuring an improved fit. This works best if the first bin=1, which is just a linear model and easily fit by optim and the Gibbs sampler.
Usage
1 2 3 4 | run.growthfit.bin(growthdata, size = "dbh", startpar = c(0.03, 0.005),
startsdpar = c(0.04, 0), sdmodel = linear.model.ctr,
badsdfunc = NULL, binoption = 1:4, noreps = 5000, noburn = 2500,
noshow = 500, ...)
|
Arguments
... |
Arguments passed to |
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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