getters-tskrrImpute: Getters for tskrrImpute objects
In xnet: Two-Step Kernel Ridge Regression for Network Predictions

Description Usage Arguments Value Examples

The functions described here are convenience functions to get information out of a tskrrImpute object.

has_imputed_values(x)

which_imputed(x)

is_imputed(x)

`x`	a `tskrrImpute` object or an object inheriting from `tskrrImpute`.

For has_imputed_values: a logical value indicating whether the model has imputed values. If x is not some form of a tskrr model, the function will return an error.

For which_imputed: a integer vector with the positions for which the values are imputed.

for is_imputed: a matrix of the same dimensions as the label matrix. It contains the value FALSE at positions that were not imputed, and TRUE at positions that were.

data(drugtarget)

mod <- tskrr(drugTargetInteraction, targetSim, drugSim)

naid <- sample(length(drugTargetInteraction), 30)
drugTargetInteraction[naid] <- NA

impmod <- impute_tskrr(drugTargetInteraction, targetSim, drugSim)

has_imputed_values(mod)
has_imputed_values(impmod)

# For illustration: extract imputed values
id <- is_imputed(impmod)
fitted(impmod)[id]