lrt: Likelihood ratio test for a kinetic class object.
In PiotrTymoszuk/kinet: N-order mixed model kinetic modeling
View source: R/inference_lrt.R
lrt R Documentation
Likelihood ratio test for a kinetic class object.
Description
Performs a likelihood ratio test for a kinetic class object.
Model terms are compared in the 0 - n order; additionally, the full model is
compared with the NULL model (order = 'global').
Usage
lrt(kinetic_object, ...)
Arguments
kinetic_object
a kinetic class object.
...
additional arguments passed to anova.
Details
The effect size statistic lambda is calculated with the formula
2 * (logLik(model) - logLik(NULL model))
Value
a data frame with the likelihood, AIC, BIC values and the test
statistics.
PiotrTymoszuk/kinet documentation built on June 12, 2022, 7:29 p.m.
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View source: R/inference_lrt.R
| lrt | R Documentation |
Likelihood ratio test for a kinetic class object.
Description
Performs a likelihood ratio test for a kinetic class object. Model terms are compared in the 0 - n order; additionally, the full model is compared with the NULL model (order = 'global').
Usage
lrt(kinetic_object, ...)
Arguments
kinetic_object |
a kinetic class object. |
... |
additional arguments passed to |
Details
The effect size statistic lambda is calculated with the formula 2 * (logLik(model) - logLik(NULL model))
Value
a data frame with the likelihood, AIC, BIC values and the test statistics.
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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