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Convert pharmacokinetic parameters for two compartment model

TwoComp_Coefficient_Exponent.Rd

Calculate pharmacokinetic parameters with parameters (A, B, alpha and beta) in two compartment model "Aexp(-alpha)+Bexp(-beta)"

Usage

TwoComp_Coefficient_Exponent(A,B,alpha,beta,
 A.sd=NA,B.sd=NA,alpha.sd=NA,beta.sd=NA,
 covar=c(AB=NA,Aalpha=NA,Abeta=NA,Balpha=NA,Bbeta=NA,alphabeta=NA),...)

Arguments

A

parameter in one compartment model "Aexp(-alpha)"

B

parameter in two compartment model "Aexp(-alpha)+Bexp(-beta)"

alpha

parameter in one compartment model "Aexp(-alpha)"

beta

parameter in two compartment model "Aexp(-alpha)+Bexp(-beta)"

A.sd

standard error of A

B.sd

standard error of B

alpha.sd

standard error of alpha

beta.sd

standard error of beta

covar

covariances among parameters

...

arguments to be passed to methods

References

http://www.nonmemcourse.com/convert.xls

Examples

TwoComp_Coefficient_Exponent(A=0.196,B=0.0036,alpha=1.221,beta=0.0287,
A.sd=0.002,B.sd=0.00005,alpha.sd=0.09,beta.sd=0.0006)
#>         Parameter    Estimate      Std.err
#> Vdss         Vdss 55.05543958 4.5318394469
#> V1             V1  5.01002004 0.0502162868
#> V2             V2 50.04541954 4.5253277822
#> Cl1           Cl1  3.49699625 0.1510647952
#> Cl2           Cl2  2.51250070 0.3028821274
#> k10           k10  0.69800045 0.0300117948
#> k12           k12  0.50149514 0.0600215148
#> k21           k21  0.05020441 0.0017647964
#> alpha       alpha  1.22100000 0.0900000000
#> beta         beta  0.02870000 0.0006000000
#> t_alpha   t_alpha  0.56768811 0.0418443323
#> t_beta     t_beta 24.15146971 0.5049087743
#> True_A     True_A  0.19600000 0.0020000000
#> True_B     True_B  0.00360000 0.0000500000
#> Frac_A     Frac_A  0.98196393 0.0003052345
#> Frac_B     Frac_B  0.01803607 0.0003052345