Kinetic nonlinear mixed-effects model fit by maximum likelihood

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

Log-likelihood: -695

Fixed effects:
 list(parent_0 ~ 1, log_k1 ~ 1, log_k2 ~ 1, g_qlogis ~ 1) 
parent_0   log_k1   log_k2 g_qlogis 
   100.1     -2.7     -4.1     -0.4 

Random effects:
 Formula: list(parent_0 ~ 1, log_k1 ~ 1, log_k2 ~ 1, g_qlogis ~ 1)
 Level: ds
 Structure: Diagonal
        parent_0 log_k1 log_k2 g_qlogis Residual
StdDev:        2    0.3    0.2      0.2        1

Variance function:
 Structure: Constant plus proportion of variance covariate
 Formula: ~fitted(.) 
 Parameter estimates:
     const       prop 
 0.9227472 -0.0480500