filter_aic_best2: Filter best ML results and compute AIC-based selection scores...
In TheoPannetier/hamr: Utility package for comrad
View source: R/filter_aic_best2.R
filter_aic_best2 R Documentation
Filter best ML results and compute AIC-based selection scores for 'dd_ML' results without fossil
Description
Returns a table with best maximum likelihood results for each of the 10 DD
models, and computes the delta AIC, AIC weights, and the latter's cumulative sum.
Usage
filter_aic_best2(ml_tbl)
Arguments
mle_tbl
a data frame containing maximum likelihood estimates for each of
the DD models (at least one row for each model), with at least cols 'dd_model',
'tree' and 'aic'. E.g. the output of [read_mle_tbl_without_fossil()].
TheoPannetier/hamr documentation built on Nov. 19, 2022, 3:48 a.m.
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View source: R/filter_aic_best2.R
| filter_aic_best2 | R Documentation |
Filter best ML results and compute AIC-based selection scores for 'dd_ML' results without fossil
Description
Returns a table with best maximum likelihood results for each of the 10 DD models, and computes the delta AIC, AIC weights, and the latter's cumulative sum.
Usage
filter_aic_best2(ml_tbl)
Arguments
mle_tbl |
a data frame containing maximum likelihood estimates for each of the DD models (at least one row for each model), with at least cols 'dd_model', 'tree' and 'aic'. E.g. the output of [read_mle_tbl_without_fossil()]. |
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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