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Compute VPC statistics

Source: R/vpcstats_fun.R
vpcstats.Rd

Compute prediction interval statistics for VPC.

Usage

vpcstats(o, ...)

# S3 method for class 'tidyvpcobj'
vpcstats(
  o,
  vpc.type = c("continuous", "categorical"),
  qpred = c(0.05, 0.5, 0.95),
  ...,
  conf.level = 0.95,
  quantile.type = 7
)

Arguments

o

A tidyvpcobj.

...

Other arguments to include.

vpc.type

Character specifying type of VPC (e.g., "continuous" (Default) or "categorical").

qpred

Numeric vector of length 3 specifying quantile prediction interval. Only applicable for vpc.type = "continuous".

conf.level

Numeric specifying confidence level.

quantile.type

Numeric indicating quantile type. See quantile.

Value

Updates tidyvpcobj with stats data.table object, which contains the following columns:

  • bin: Resulting bin value as specified in binning() function

  • xbin: Midpoint x-value of the observed data points in the bin as specified in xbin argument of binning() function

  • qname: Quantiles specified in qpred. Only returned if vpc.type = "continuous"

  • pname: Categorical probability names. Only returned if vpc.type = "categorical"

  • y: Observed y value for the specified quantile

  • lo: Lower bound of specified confidence interval for y value in simulated data

  • md: Median y value in simulated data

  • hi: Upper bound of specified confidence interval for y value in simulated data

See also

observed simulated censoring stratify binning binless predcorrect