ferx_estimates.RdExtracts all estimated parameters (theta, omega diagonal, sigma) into a single tidy data frame, adding percent relative standard error (\ 95\ back-transformed estimates and CIs.
ferx_estimates(fit)A ferx_fit object returned by ferx_fit.
A data frame with columns param, transform,
estimate, se, rse_pct, lower_95,
upper_95, estimate_natural, lower_95_natural,
upper_95_natural. SE-derived and natural-scale columns are
NA when not applicable or when the covariance step was not run.
Omega is reported on the variance scale (matching the .ferx model
file convention). For block omega, only the diagonal variances are included.
ferx_cor_matrix for parameter correlations.
ex <- ferx_example("warfarin")
fit <- ferx_fit(ex$model, ex$data, method = "gn", covariance = FALSE)
#> Warning: Model file [fit_options] sets `method = foce` but ferx_fit() argument overrides it with `gn`. The call-time value will be used.
#> Warning: Model file [fit_options] sets `covariance = true` but ferx_fit() argument overrides it with `false`. The call-time value will be used.
#> Mu-referencing detected for: ETA_CL, ETA_KA, ETA_V
#> Negative IWRES autocorrelation detected (Durbin-Watson = 2.61, lag-1 r = -0.37).
#> Possible over-parameterisation or misspecified residual error model.
ferx_estimates(fit)
#> param transform estimate se rse_pct lower_95 upper_95
#> 1 TVCL identity 0.132736353 NA NA NA NA
#> 2 TVV identity 7.690589924 NA NA NA NA
#> 3 TVKA identity 0.757203691 NA NA NA NA
#> 4 ETA_CL variance 0.028490672 NA NA NA NA
#> 5 ETA_V variance 0.009617854 NA NA NA NA
#> 6 ETA_KA variance 0.342903187 NA NA NA NA
#> 7 PROP_ERR proportional 0.010624906 NA NA NA NA
#> estimate_natural lower_95_natural upper_95_natural
#> 1 NA NA NA
#> 2 NA NA NA
#> 3 NA NA NA
#> 4 NA NA NA
#> 5 NA NA NA
#> 6 NA NA NA
#> 7 NA NA NA