R: Obtain Prediction and Confidence Intervals From a HiGrad Fit

predict.higrad {higrad}

R Documentation

Obtain Prediction and Confidence Intervals From a HiGrad Fit

predict can be applied with a higrad object to obtain predictions and confidence intervals.

## S3 method for class 'higrad'
predict(object, newx, alpha = 0.05, type = "link",
  prediction.interval = FALSE, ...)

`object`	a fitted object of class `higrad`.
`newx`	matrix of new values for `x` at which predictions are to be made.
`alpha`	significance level. The confidence level of the interval is thus 1 - `alpha`.
`type`	type of prediction required. Type `"link"` gives the linear predictors for `"logistic"`; for `"lm"` models it gives the fitted values. Type `"response"` gives the fitted probabilities for `"logistic"`; for `"lm"` type `"response"` is equivalent to type `"link"`.
`prediction.interval`	logical; indicator of whether prediction intervals should be returned instead of confidence intervals.
`...`	other prediction options.

A list with components

`pred`	predicted values.
`upper`	upper limit of the confidence/prediction intervals.
`lower`	lower limit of the confidence/prediction intervals.

[Package higrad version 0.1.0 Index]