sumoR: Compile summary information for NONMEM model based on the lst...

In nonmem2R: Loading NONMEM Output Files with Functions for Visual Predictive Checks (VPC) and Goodness of Fit (GOF) Plots

Compile summary information for NONMEM model based on the lst file, ext file, and the cov file.

Description

Compile summary information similar to that of the sumo PSN function, based on the NONMEM output files lst, ext, and if covariance setp was run, the cov file.

Usage

sumoR(
  model,
  use.model.path = TRUE,
  tableType = 2,
  format.estimate = "% -#6.4g",
  format.rse = "%#6.3g"
)

Arguments

model	name of the lst file with or without the .lst extension. model may include full or relative path to the lst file.
use.model.path	Load file from a global defined model library (TRUE=default). If so will look for a global character vector named model.path
tableType	Table type for THETA's, OMEGA's and SIGMA's tableType=0: Present OMEGA and SIGMA as variance and covariances and display SE for THETA, OMEGA, SIGMA tableType=1: Present OMEGA and SIGMA as variance and covariances and display RSE for THETA, OMEGA, SIGMA tableType=2: Present OMEGA and SIGMA as standard-deviation and correlations and display RSE for THETA, OMEGA, SIGMA tableType=3: Present OMEGA and SIGMA as standard-deviation and correlations and display SE for THETA, OMEGA, SIGMA
format.estimate	format for estimated value, passed to sprintf
format.rse	format for RSE or SE, passed to sprintf

Value

named list of class sumoR

Examples

##### Compile summary information from the .lst file "run001.lst"
# 1) Get path to the example file included in nonmem2R package
file1 <- system.file("extdata", "run001.lst", package = "nonmem2R")
# 2) Compile summary information from "run001.lst"
sumoR(file1)

nonmem2R documentation built on May 29, 2024, 8:58 a.m.