Ai Feedback
Exact(10)
The findings of study revealed that the log likelihood for the model fitted was −714.42 and log likelihood for chi- squared value of 74.02; this implied that all the parameters were jointly significant at 10% confidence level.
The contribution for each independent variable in the best model fitted was calculated by applying the hierarchical partitioning algorithm [25].
Throughout the study, the default model fitted was A1.
The model fitted was (2) y = μ + g + s + g.s + e where the interaction g.s tests the difference between gene and species for rates of evolution.
The model fitted was, where y was time to death, sex and family were fitted as fixed effects, animal and ID were random animal effects and mu represented unknown random residual effects.
In the first approach, the model fitted was of the form: where y is the phenotype of each individual and, as in previous models, W and α refer to the fixed effects described above.
Similar(49)
The model fitted is log-linear in duration of EPT.
Previous model fitting was based on Ft values >2 corresponding to fevers >104°F [17].
An in silico model fitting was then attempted.
Two other aspects of the model fitting are important.
Total fitting scores (goodness of the model fitting) were GFI = .979, CFI = .979, RMSEA = .039.039
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com