compute_model_fit_parameters.RdConverts tTable of summary(model_fit) to tibble and adds CIs.
compute_model_fit_parameters(
fit,
trt_col_name = "TRTG",
tafd_col_name = "TAFD",
id_col_name = "ID",
conf_int = 0.95
)An nlme::lme model object from model fitting
String of column name of trt used in model fitting
String of column name of tafd used in model fitting
String of column name of the id used in model fitting for random effects
Numeric confidence interval level (default: 0.9)
a tibble of model_fit parameters
data_proc <- preprocess(cqtkit_data_verapamil)
fit <- fit_prespecified_model(
data_proc,
deltaQTCF,
ID,
CONC,
deltaQTCFBL,
TRTG,
TAFD,
"REML",
TRUE
)
compute_model_fit_parameters(fit)
#> # A tibble: 20 × 8
#> Parameters Value Std.Error DF `t-value` `p-value` CIl CIu
#> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 Intercept -8.75 2.24 604 -3.90 1.05e- 4 -13.1 -4.35
#> 2 CONC 0.00785 0.00825 604 0.952 3.41e- 1 -0.00834 0.0240
#> 3 deltaQTCFBL -0.649 0.0402 604 -16.2 4.78e-49 -0.728 -0.570
#> 4 Verapamil HCL 2.77 0.642 604 4.32 1.82e- 5 1.51 4.03
#> 5 1 HR 4.08 1.16 604 3.53 4.45e- 4 1.81 6.35
#> 6 1.5 HR 2.25 1.13 604 1.99 4.72e- 2 0.0275 4.48
#> 7 2 HR 6.67 1.24 604 5.38 1.07e- 7 4.24 9.11
#> 8 2.5 HR 5.60 1.25 604 4.48 8.89e- 6 3.15 8.06
#> 9 3 HR 2.96 1.12 604 2.65 8.36e- 3 0.763 5.16
#> 10 3.5 HR -0.416 1.14 604 -0.366 7.14e- 1 -2.65 1.82
#> 11 4 HR 1.50 1.11 604 1.35 1.78e- 1 -0.687 3.69
#> 12 5 HR -0.494 1.12 604 -0.442 6.59e- 1 -2.69 1.70
#> 13 6 HR 1.16 1.20 604 0.968 3.33e- 1 -1.20 3.52
#> 14 7 HR -0.203 1.20 604 -0.169 8.66e- 1 -2.57 2.16
#> 15 8 HR -0.859 1.17 604 -0.737 4.61e- 1 -3.15 1.43
#> 16 12 HR -4.18 1.17 604 -3.58 3.74e- 4 -6.48 -1.89
#> 17 14 HR -2.98 1.38 604 -2.15 3.19e- 2 -5.70 -0.258
#> 18 24 HR 1.62 1.40 604 1.16 2.46e- 1 -1.12 4.37
#> 19 IIV(Intercept) 10.1 NA NA NA NA 7.22 14.0
#> 20 Residual Error 6.18 NA NA NA NA 5.84 6.54