Output Files

Each model run produces three output files.

sdtab CSV ({model}-sdtab.csv)

A CSV file with per-observation diagnostics, one row per observation per subject.

Columns

Residual Definitions

IWRES (Individual Weighted Residual): \[ \text{IWRES}_j = \frac{y_j - \text{IPRED}_j}{\sqrt{V_j}} \] where \( V_j \) is the residual variance evaluated at the individual prediction.

CWRES (Conditional Weighted Residual): \[ \text{CWRES}j = \frac{y_j - f{0,j}}{\sqrt{\tilde{R}_{jj}}} \] where \( f_0 = f(\hat{\eta}) - H\hat{\eta} \) is the linearized population prediction and \( \tilde{R} = H\Omega H^T + R \) is the conditional variance.

Example

ID,TIME,DV,PRED,IPRED,CWRES,IWRES,ETA1,ETA2,ETA3
1,0.5,9.49,10.12,9.55,-0.23,-0.06,0.15,-0.08,0.32
1,1.0,14.42,14.87,14.35,0.18,0.05,0.15,-0.08,0.32

Fit YAML ({model}-fit.yaml)

A YAML file containing parameter estimates, standard errors, and model diagnostics.

Structure

model:
  converged: true
  method: FOCE
objective_function:
  ofv: -280.1838
  aic: -266.1838
  bic: -247.2804
data:
  n_subjects: 10
  n_observations: 110
  n_parameters: 7
theta:
  TVCL:
    estimate: 0.132735
    se: 0.014549
    rse_pct: 11.0
  TVV:
    estimate: 7.694842
    se: 0.293028
    rse_pct: 3.8
omega:
  omega_11:
    variance: 0.028584
    cv_pct: 16.9
    se: 0.006394
  omega_22:
    variance: 0.009613
    cv_pct: 9.8
    se: 0.002165
sigma:
  sigma_1:
    estimate: 0.010638
    se: 0.000788

Key Fields

• ofv: Objective Function Value (-2 log-likelihood)
• aic: Akaike Information Criterion (OFV + 2p)
• bic: Bayesian Information Criterion (OFV + p * ln(n))
• se: Standard error from the covariance step
• rse_pct: Relative standard error as percentage (SE/estimate * 100)
• cv_pct: Coefficient of variation for omega (sqrt(variance) * 100)

Timing File ({model}-timing.txt)

A single-line text file with the wall-clock estimation time:

elapsed_seconds=0.496000

This measures only the estimation step (not parsing or data reading).