AIC.comp: Compute and compare AIC for different fasimcoal models
In carlopacioni/amplicR: An R package to process amplicon data
AIC.comp R Documentation
Compute and compare AIC for different fasimcoal models
Description
This functions expects that different fastsimcoal models were run in
different directories within the same parent directory (as for
fsc.multiple.estimate). Assuming that dir.in is the parent
directory, it will extract and compute AIC from all of them.
Usage
AIC.comp(dir.in)
Arguments
dir.in
The parent directory within which the models have been run
Details
It is important to note that this function will probably fail if there are
more than one .est within each directory as it will read these to evaluate
the number of parameters in the model. If there is more than one file, there
is no way to know which one is correct. Also, that will also create an
inconsistency between the number of models and the number of files, which may
cause problems in reporting the results even if the function completes.
References
Excoffier L., Dupanloup I., Huerta-Sánchez E., Sousa V. C. and
Foll M. (2013) Robust demographic inference from genomic and SNP data. PLoS
genetics 9(10)
carlopacioni/amplicR documentation built on Aug. 19, 2023, 7:59 p.m.
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| AIC.comp | R Documentation |
Compute and compare AIC for different fasimcoal models
Description
This functions expects that different fastsimcoal models were run in
different directories within the same parent directory (as for
fsc.multiple.estimate). Assuming that dir.in is the parent
directory, it will extract and compute AIC from all of them.
Usage
AIC.comp(dir.in)
Arguments
dir.in |
The parent directory within which the models have been run |
Details
It is important to note that this function will probably fail if there are more than one .est within each directory as it will read these to evaluate the number of parameters in the model. If there is more than one file, there is no way to know which one is correct. Also, that will also create an inconsistency between the number of models and the number of files, which may cause problems in reporting the results even if the function completes.
References
Excoffier L., Dupanloup I., Huerta-Sánchez E., Sousa V. C. and Foll M. (2013) Robust demographic inference from genomic and SNP data. PLoS genetics 9(10)
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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