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Add residual variability based on parameter estimates

Source: R/addResVar.R
addResVar.Rd

Add residual variability based on parameter estimates

Usage

addResVar(
  data,
  path.ext,
  prop = NULL,
  add = NULL,
  log = FALSE,
  par.type = "SIGMA",
  trunc0 = TRUE,
  scale.par,
  subset,
  seed,
  col.ipred = "IPRED",
  col.ipredvar = "IPREDVAR",
  as.fun
)

Arguments

data

A data set containing indiviudual predictions. Often a result of NMsim.

path.ext

Path to the ext file to take the parameter estimates from.

prop

Parameter number of parameter holding variance of the proportional error component. If ERR(1) is used for proportional error, use prop=1. Can also refer to a theta number.

add

Parameter number of parameter holding variance of the additive error component. If ERR(1) is used for additive error, use add=1. Can also refer to a theta number.

log

Should the error be added on log scale? This is used to obtain an exponential error distribution.

par.type

Use "sigma" if variances are estimated with the SIGMA matrix. Use "theta" if THETA parameters are used. See `scale.par` too.

trunc0

If log=FALSE, truncate simulated values at 0? If trunc0, returned predictions can be negative.

scale.par

Denotes if parmeter represents a variance or a standard deviation. Allowed values and default value depends on `par.type`.

  • if par.type="sigma" only "var" is allowed.

  • if par.type="theta" allowed values are "sd" and "var". Default is "sd".

subset

A character string with an expression denoting a subset in which to add the residual error. Example: subset="DVID=='A'"

seed

A number to pass to set.seed() before simulating. Default is to generate a seed and report it in the console. Use seed=FALSE to avoid setting the seed (if you prefer doing it otherwise).

col.ipred

The name of the column containing individual predictions.

col.ipredvar

The name of the column to be created by addResVar to contain the simulated observations (individual predictions plus residual error).

as.fun

The default is to return data as a data.frame. Pass a function (say `tibble::as_tibble`) in as.fun to convert to something else. If data.tables are wanted, use as.fun="data.table". The default can be configured using NMdataConf.

Value

An updated data.frame

Examples

if (FALSE) { # \dontrun{
## based on SIGMA
simres.var <- addResVar(data=simres,
                        path.ext = "path/to/model.ext",
                        prop = 1,
                        add = 2,
                        par.type = "SIGMA",
                        log = FALSE)

## If implemented using THETAs
simres.var <- addResVar(data=simres,
                        path.ext = "path/to/model.ext",
                        prop = 8, ## point to elements in THETA
                        add = 9,  ## point to elements in THETA
                        par.type = "THETA",
                        log = FALSE)

} # }