Takes the slope from a lme model and its confidence interval

Takes the slope from a lme model and its confidence interval

compute_lme_slope_df(lme_mod, xdata_col, conf_int = 0.95)

Arguments

lme_mod

An nlme::lme model object from model fitting

xdata_col

An unquoted name of column used as independent data in LME

conf_int

Numeric confidence interval level (default: 0.9)

Value

tibble of slope, lower_ci, upper_ci

Examples

df <- cqtkit_data_verapamil %>% preprocess()

lme_mod <- df %>%
  fit_qtc_linear_model(
      QT,
      RR,
      ID,
      method = 'REML',
      remove_rr_iiv = FALSE
  )
#> variance-covariance issues detected, try running again with method = 'REML'
#> If issues persist, try removing IIV.

slope_data <- compute_lme_slope_df(lme_mod, RR, 0.9)
#> Error in intervals.lme(fit, conf_int): cannot get confidence intervals on var-cov components: Non-positive definite approximate variance-covariance
#>  Consider 'which = "fixed"'