sigma_lsq: This function calculates the sum of squares of the of the...
In armbrustlab/ssPopModel: ssPopModel: a size-structured matrix population model implemented in R
Description
Usage
Arguments
Value
View source: R/functions_model.R
Description
This function calculates the sum of squares of the of the differences between the hourly observations and
the model given the specified parameters
This function returns a column vector - called by "determine.opt.para" for the optimization.
Usage
1
2
3
4
5
6
sigma_lsq(
params = params,
Edata = Edata,
distribution = distribution,
resol = resol
)
Arguments
params
blabla
Edata
blabla
distribution
blabla
resol
blabla
Value
goodness of fit
armbrustlab/ssPopModel documentation built on Sept. 22, 2021, 1:25 p.m.
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Description Usage Arguments Value
View source: R/functions_model.R
Description
This function calculates the sum of squares of the of the differences between the hourly observations and the model given the specified parameters This function returns a column vector - called by "determine.opt.para" for the optimization.
Usage
1 2 3 4 5 6 | sigma_lsq(
params = params,
Edata = Edata,
distribution = distribution,
resol = resol
)
|
Arguments
params |
blabla |
Edata |
blabla |
distribution |
blabla |
resol |
blabla |
Value
goodness of fit
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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