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Convert pharmacokinetic parameters for two compartment model

TwoComp_Volume_Exponent.Rd

Calculate pharmacokinetic parameters with volume of distribution(V1), transfer rate constant (k12), and parameters (alpha and beta) in the model "Aexp(-alpha)+Bexp(-beta)"

Usage

TwoComp_Volume_Exponent(V1,alpha,beta,k21,V1.sd=NA,
 alpha.sd=NA,beta.sd=NA,k21.sd=NA,
 covar=c(V1alpha=NA,V1beta=NA,V1k21=NA,alphabeta=NA,
 alphak21=NA,betak21=NA),...)

Arguments

V1

The volume of distribution of compartment 1

alpha

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

beta

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

k21

transfer rate constants from compartment 2 to compartment 1

V1.sd

standard error of V1

alpha.sd

standard error of alpha

beta.sd

standard error of beta

k21.sd

standard error of k21

covar

covariances among parameters

...

arguments to be passed to methods

References

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

Examples

TwoComp_Volume_Exponent(V1=5,alpha=1.221, beta=0.029, k21=0.05,
V1.sd=0.01,alpha.sd=0.01,beta.sd=0.00005,k21.sd=0.0006)
#>         Parameter    Estimate      Std.err
#> Vdss         Vdss 54.18200000 0.4916381819
#> V1             V1  5.00000000 0.0100000000
#> V2             V2 49.18200000 0.4895312267
#> Cl1           Cl1  3.54090000 0.0522866235
#> Cl2           Cl2  2.45910000 0.0453761281
#> k10           k10  0.70818000 0.0103609635
#> k12           k12  0.49182000 0.0090217610
#> k21           k21  0.05000000 0.0006000000
#> alpha       alpha  1.22100000 0.0100000000
#> beta         beta  0.02900000 0.0000500000
#> t_alpha   t_alpha  0.56768811 0.0046493703
#> t_beta     t_beta 23.90162692 0.0412097016
#> True_A     True_A  0.19647651 0.0004068027
#> True_B     True_B  0.00352349 0.0001054800
#> Frac_A     Frac_A  0.98238255 0.0005262215
#> Frac_B     Frac_B  0.01761745 0.0005262215