Get standard error and relative standard error (cv) of the secondary parameter estimate

Secondary(Formula, PE, COV)

Arguments

Formula

Formula to calculate the secondary parameter estimate

PE

Point estimates of primary parameters with names

COV

Variance-covariance matrix of primary estimates

Details

Variables within Formula should exist in the names of PE vector.

Value

This returns point estimate, standard error, relative standard error of the secondary parameter estimate.

Author

Kyun-Seop Bae <k@acr.kr>

Examples

tData = Theoph colnames(tData) = c("ID", "BWT", "DOSE", "TIME", "DV") # Table requires DV column fPK = function(THETA) # Prediction function { AMT = 320000 # in microgram TIME = e$DATA[,"TIME"] V = THETA[1] K = THETA[2] Ka = THETA[3] Cp = AMT/V*Ka/(Ka - K)*(exp(-K*TIME) - exp(-Ka*TIME)) return(Cp) } Data = tData[tData$ID == 1,] Res = nlr(fPK, Data, pNames=c("V", "K", "Ka"), IE=c(30000, 0.1, 2)) Secondary(~V*K, Res$Est["PE",1:e$nPara], Res$Cov)
#> PE SE RSE #> 1585.94508 172.85020 10.89888