estimates {triptych}

Accessing diagnostic estimate data

Description

Accessing diagnostic estimate data

Usage

estimates(x, at, ...)

## S3 method for class 'triptych_mcbdsc'
estimates(x, ...)

## S3 method for class 'triptych_murphy'
estimates(x, at = NULL, ...)

## S3 method for class 'triptych_reliability'
estimates(x, at = NULL, ...)

## S3 method for class 'triptych_roc'
estimates(x, at = NULL, p1 = mean(observations(x)), ...)

Arguments

x

An object from which the estimate information should be extracted.

at

A vector of thresholds where x should be evaluated.

...

Additional arguments passed to other methods.

p1

The unconditional event probability. Used in combination with at to determine the diagonal lines along which to determine the estimate.

Value

A tibble with the relevant information describing the diagnostic estimate (Murphy curve, reliability curve, ROC curve, score decomposition) for all supplied forecasting methods.

For a Murphy curve, a tibble with columns: forecast, knot (the threshold value), limit ("left" or "right" in knot, only present if at = NULL), mean_score.

For a reliability curve, a tibble with columns: forecast, CEP, x (the knots of the isotonic regression estimate).

For a ROC curve, a tibble with columns: forecast, FAR (false alarm rate), HR (hit rate).

For a MCBDSC decomposition, a tibble with columns: forecast, mean_score, MCB (miscalibration), DSC (discrimination), UNC (uncertainty).

See Also

regions(), forecasts(), observations()

Examples

data(ex_binary, package = "triptych")
tr <- triptych(ex_binary)

estimates(tr$murphy)
estimates(tr$reliability)
estimates(tr$roc)
estimates(tr$mcbdsc)