highmlr_stability: Post-hoc stability analysis of a fitted highmlr_fit
In highMLR: Machine Learning Feature Selection for High Dimensional Survival Data
highmlr_stability R Documentation
Post-hoc stability analysis of a fitted highmlr_fit
Description
Runs stability selection on the data used in 'fit', returning a
selection frequency per feature.
Usage
highmlr_stability(fit, B = 100L, cutoff = 0.75, PFER = 1, ...)
Arguments
fit
A 'highmlr_fit' object (used only for the data / call).
B
Number of subsamples (default 100).
cutoff
Selection probability threshold (default 0.75).
PFER
Per-family error rate bound (default 1).
...
Passed to [fit_stability()].
Value
A new 'highmlr_fit' with 'method = "stability"'.
highMLR documentation built on May 23, 2026, 5:07 p.m.
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| highmlr_stability | R Documentation |
Post-hoc stability analysis of a fitted highmlr_fit
Description
Runs stability selection on the data used in 'fit', returning a selection frequency per feature.
Usage
highmlr_stability(fit, B = 100L, cutoff = 0.75, PFER = 1, ...)
Arguments
fit |
A 'highmlr_fit' object (used only for the data / call). |
B |
Number of subsamples (default 100). |
cutoff |
Selection probability threshold (default 0.75). |
PFER |
Per-family error rate bound (default 1). |
... |
Passed to [fit_stability()]. |
Value
A new 'highmlr_fit' with 'method = "stability"'.
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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