parframe2setup | R Documentation |
Reads all relevant inputs (ie, parameter estimates, bootstrap, shrinkage, etc.) using directly model run or with the help of a YAML file. The parameter name must be provided in the model file. Other fields are optional and can be provided either in (1) the model file or a (2) YAML file. Few fields needs to be inputted directly from user to complete the table:
name (compulsory): name of parameter (eg, CL, Vd, nCL, nVd, etc.)
label: description of parameter (eg, "Volume of distribution", "Apparent Clearance", etc.)
units: parameter unit (eg, L/h, 1/hr, etc)
trans: parameter transformation (ie, %, exp, ilogit, sqrt, CV%)
type: Typical Values, Between Subject Variability, Inter Occasion Variability, Residual Error or Covariates (ie respectively, Structural, IIV, IOV, RUV or CovariateEffect)
parframe2setup(
run_dir,
run_prefix,
runno,
bootstrap = NULL,
run_dir.boot = NULL,
runno.boot = NULL,
conf.level = 0.95,
min_suc = TRUE,
read.boot = NULL,
boot.obj = NULL,
yaml.file = NULL,
yaml.file.name = NULL
)
run_dir |
NONMEM model directory |
run_prefix |
NONMEM run number prefix |
runno |
NONMEM run number |
bootstrap |
flag for availability of bootstrap results |
run_dir.boot |
bootstrap results directory |
runno.boot |
bootstrap NONMEM run number, if changes from runno |
conf.level |
bootstrap results confidence interval. By default set to 95% |
min_suc |
filter bootstrap results on minimization successful. By default set to TRUE |
read.boot |
flag for reading directly the customized filtering bootstrap raw_results.csv |
boot.obj |
customized filtered bootstrap raw_results.csv data frame passed by user |
yaml.file |
flag for using the yaml.file option; all the non-compulsory fields e.g., label, trans, units, type will be read from yaml file |
yaml.file.name |
name of the yaml file |
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