Specify simulated dataset and variables for VPC

The simulated function is used for specifying simulated input data and variables for VPC. Note: Simulated data must not contain missing DV and may require filtering MDV == 0 before generating VPC. The ordering of observed and simulated data must also be consistent, with replicates in simulated data stacked on top of each other.

simulated(o, ...)

# S3 method for tidyvpcobj
simulated(o, data, ysim, ..., xsim)

Arguments

o

A tidyvpcobj.

...

Other arguments.

data

A data.frame of simulated data.

ysim

Numeric y-variable, typically named DV.

xsim

Numeric x-variable, typically named TIME.

Value

A tidyvpcobj containing simulated dataset sim formatted with columns x, y, and repl, which indicates the replicate number. The column x is used from the observed() function. Resulting dataset is of class data.frame and data.table.

See also

observed censoring stratify predcorrect binning binless vpcstats

Examples

require(magrittr)

vpc <- observed(obs_data, x=TIME, y=DV) %>%
    simulated(sim_data, y=DV)