Micro-constants of a linear compartment model

Converts one parameter set, in any of the linCmt() parameterizations, to the central volume and micro-constants that the analytic solutions use.

Usage

linCmtMicros(p1, v1, p2 = 0, p3 = 0, p4 = 0, p5 = 0, ncmt, trans = 1L)

Arguments

p1

first parameter (for example clearance or k)

v1

central volume (or its parameterization-specific counterpart)

p2

second parameter (two and three compartments)

p3

third parameter (two and three compartments)

p4

fourth parameter (three compartments)

p5

fifth parameter (three compartments)

ncmt

number of compartments, 1 to 3

trans

parameterization number (see Details)

Value

named numeric vector: v, k, and for two or more compartments k12, k21, and for three compartments k13, k31

Details

Supported trans values: one compartment 1 (cl, v), 2 (k, v), 10 (alpha, A with v1 holding A), 11 (alpha, v); two compartments 1 (cl, v, q, vp), 2 (k, v, k12, k21), 3 (cl, v, q, vss), 4 (alpha, beta, k21), 5 (alpha, beta, aob), 10, 11; three compartments 1 (cl, v, q, vp, q2, vp2), 2 (k, v, k12, k21, k13, k31), 10, 11.

Author

Matthew L. Fidler

Examples

linCmtMicros(p1 = 2, v1 = 20, ncmt = 1)
#>    v    k 
#> 20.0  0.1 
linCmtMicros(p1 = 2, v1 = 20, p2 = 3, p3 = 40, ncmt = 2)
#>      v      k    k12    k21 
#> 20.000  0.100  0.150  0.075