Kinetic nonlinear mixed-effects model fit by SAEM
Structural model:
d_parent/dt = - ((k1 * g * exp(-k1 * time) + k2 * (1 - g) * exp(-k2 *
           time)) / (g * exp(-k1 * time) + (1 - g) * exp(-k2 * time)))
           * parent

Data:
270 observations of 1 variable(s) grouped in 15 datasets

Likelihood computed by importance sampling
   AIC  BIC logLik
  1409 1415   -696

Fitted parameters:
          estimate lower  upper
parent_0    100.00 99.00 100.00
log_k1       -2.70 -3.00  -2.50
log_k2       -4.10 -4.30  -4.00
g_qlogis     -0.35 -0.53  -0.16
a.1           0.92  0.68   1.20
b.1           0.05  0.04   0.06
SD.log_k1     0.37  0.23   0.51
SD.log_k2     0.23  0.14   0.31