Predict retention times using a FastRet Model

Predict retention times for new data using a FastRet Model (FRM).

Usage

# S3 method for class 'frm'
predict(
  object = train_frm(),
  df = object$df,
  adjust = NULL,
  verbose = 0,
  clip = TRUE,
  impute = TRUE,
  ...
)

Arguments

object

An object of class frm as returned by train_frm().

df

A data.frame with the same columns as the training data.

adjust

If object was adjusted using adjust_frm(), it will contain a property object$adj. If adjust is TRUE, object$adj will be used to adjust predictions obtained from object$model. If FALSE object$adj will be ignored. If NULL, object$model will be used, if available.

verbose

A logical value indicating whether to print progress messages.

clip

Clip predictions to be within RT range of training data?

impute

Impute missing predictor values using column means of training data?

...

Not used. Required to match the generic signature of predict().

Value

A numeric vector with the predicted retention times.

See also

train_frm(), adjust_frm()

Examples

object <- read_rp_lasso_model_rds()
df <- head(RP)
yhat <- predict(object, df)