fit_pamr: Fit nearest shrunken centroids model.
In emil: Evaluation of Modeling without Information Leakage

Description Usage Arguments Value Author(s) See Also

Wrapped version of the pamr package implementation. Note that this function uses internal cross-validation for determining the value of the shrinkage threshold.

1 2	fit_pamr(x, y, error_fun, cv, nfold, threshold = NULL, ..., thres_fun = function(thr, err) median(thr[err == min(err)]), slim = FALSE)

`x`	Dataset, numerical matrix with observations as rows.
`y`	Class labels, factor.
`error_fun`	Error function for tuning.
`cv`	Cross-validation scheme for shrinkage tuning. It should be supplied on one of the following forms: Resampling scheme produced with `resample` or `resample_holdout`. List with elements named `nrepeat` and `nfold` `NA`, `NULL` or `FALSE` to suppress shrinkage tuning.
`nfold`	Sent to `pamr.cv`. Only used if `cv` is missing.
`threshold`	Shrinkage thresholds to try (referred to as 'lambda' in the literature). Chosen and tuned automatically by default, but must be given by the user if not tuned (see the `cv` argument) if you wish to use it with `evaluate`.
`...`	Sent to `pamr.train`.
`thres_fun`	Threshold selection function. Note that it is not uncommon that several thresholds will result in the same tuning error.
`slim`	Set to `TRUE` if you want to return the fitted classifier but discard pamr's `cv.objects`, which can be large. memory efficient. This means that the element `cv$cv.objects` containing the cross-validated fits will be dropped from the returned classifier.