qualV: Qualitative Validation Methods
In qualV: Qualitative Validation Methods
qualV-package R Documentation
Qualitative Validation Methods
Description
Qualitative methods for model validation.
Details
This package contains functions for a qualitative model comparison.
Common quantitative deviance measures underestimate the
similarity of patterns if there are shifts in time between measurement
and simulation. Qualitative validation methods are additional methods
to validate models, especially useful to compare the patterns of observed and
simulated values.
For a complete list of functions with individual help pages, use
library(help="qualV").
References
Jachner, S., van den Boogaart, K.G. and Petzoldt, T. (2007) Statistical
methods for the qualitative assessment of dynamic models with time
delay (R package qualV), Journal of Statistical Software, 22(8), 1–30.
\Sexpr[results=rd]{tools:::Rd_expr_doi("10.18637/jss.v022.i08")}.
qualV documentation built on July 9, 2023, 6:09 p.m.
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| qualV-package | R Documentation |
Qualitative Validation Methods
Description
Qualitative methods for model validation.
Details
This package contains functions for a qualitative model comparison.
Common quantitative deviance measures underestimate the
similarity of patterns if there are shifts in time between measurement
and simulation. Qualitative validation methods are additional methods
to validate models, especially useful to compare the patterns of observed and
simulated values.
For a complete list of functions with individual help pages, use
library(help="qualV").
References
Jachner, S., van den Boogaart, K.G. and Petzoldt, T. (2007) Statistical methods for the qualitative assessment of dynamic models with time delay (R package qualV), Journal of Statistical Software, 22(8), 1–30. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.18637/jss.v022.i08")}.
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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