select_best: Return empirically best prediction model
In maxwestphal/SEPM: Statistical Evaluation of Prediction Models
select_best R Documentation
Return empirically best prediction model
Description
Return empirically best prediction model
Usage
select_best(
comparison,
mode = c("weighted", "min"),
threshold = c(0.5, 0.5),
regu = 1,
break_ties = TRUE,
...
)
Arguments
comparison
SEPM.comparison
mode
character, "weighted" or "min"
threshold
numeric, length corresponds to number of subgroups
regu
numeric, regularization parameter
break_ties
logical, default: TRUE
...
further arguments (currently ignored)
Value
a vector of selected model indices
maxwestphal/SEPM documentation built on April 12, 2024, 12:09 a.m.
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| select_best | R Documentation |
Return empirically best prediction model
Description
Return empirically best prediction model
Usage
select_best(
comparison,
mode = c("weighted", "min"),
threshold = c(0.5, 0.5),
regu = 1,
break_ties = TRUE,
...
)
Arguments
comparison |
SEPM.comparison |
mode |
character, "weighted" or "min" |
threshold |
numeric, length corresponds to number of subgroups |
regu |
numeric, regularization parameter |
break_ties |
logical, default: TRUE |
... |
further arguments (currently ignored) |
Value
a vector of selected model indices
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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