fit_weibull: Fit a TPD using a Weibull TPM
In ggcostoya/limon: Evolutionary Constraints among Thermal Performance Traits
Description
Usage
Arguments
Value
Examples
Description
Fits a thermal-performance dataset (TPD) using a Gaussian thermal-performance model (TPM) through a Non-linear least squares (NLS) approach.
Usage
1
fit_weibull(tpd)
Arguments
tpd
A thermal-performance dataset (TPD)
Value
An nls model object
Examples
1
2
tpd <- gen_base_tpd(topt = 30, tb = 5, skw = -2, ctmin = 15, ctmax = 35, pmax = 10, pmin = 0.1)
fit_weibull(tpd)
ggcostoya/limon documentation built on April 27, 2021, 10:09 p.m.
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Description Usage Arguments Value Examples
Description
Fits a thermal-performance dataset (TPD) using a Gaussian thermal-performance model (TPM) through a Non-linear least squares (NLS) approach.
Usage
1 | fit_weibull(tpd)
|
Arguments
tpd |
A thermal-performance dataset (TPD) |
Value
An nls model object
Examples
1 2 | tpd <- gen_base_tpd(topt = 30, tb = 5, skw = -2, ctmin = 15, ctmax = 35, pmax = 10, pmin = 0.1)
fit_weibull(tpd)
|
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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