lrt_list: Likelihood ration test for a list of kinetic objects.
In PiotrTymoszuk/kinet: N-order mixed model kinetic modeling
View source: R/inference_lrt.R
lrt_list R Documentation
Likelihood ration test for a list of kinetic objects.
Description
Performs likelihood ratio tests for a list of kinetic class
objects, optionally in parallel.
Usage
lrt_list(kinetic_objects, .parallel = FALSE, .errors = FALSE, ...)
Arguments
kinetic_objects
a list with kinetic class objects.
.parallel
logical, should the model construction be done in parallel?
.errors
logical, should modeling failures be returned?
...
extra arguments passed to anova.
Details
The effect size statistic lambda is calculated with the formula
2 * (logLik(model) - logLik(NULL model))
Value
a list of data frames 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_list | R Documentation |
Likelihood ration test for a list of kinetic objects.
Description
Performs likelihood ratio tests for a list of kinetic class objects, optionally in parallel.
Usage
lrt_list(kinetic_objects, .parallel = FALSE, .errors = FALSE, ...)
Arguments
kinetic_objects |
a list with kinetic class objects. |
.parallel |
logical, should the model construction be done in parallel? |
.errors |
logical, should modeling failures be returned? |
... |
extra arguments passed to |
Details
The effect size statistic lambda is calculated with the formula 2 * (logLik(model) - logLik(NULL model))
Value
a list of data frames 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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