Get fitted model coefficients

Usage

mst_coefs(fits, conf_level = 0.95)

Arguments

fits: A tibble of fits from mst_fit().
conf_level: Confidence level of the intervals.

Value

A tibble with one row per parameter per fit, with the grouping columns of fits and:

model: the model fitted.
term: the parameter: unbound, bound, and kd and target_concentration for the Kd model or ec50 and hill for the Hill model. A fixed target_concentration is not included.
estimate and std_error: the estimate and its standard error. Concentrations are molar.
conf_low and conf_high: the confidence interval, from the t-distribution. Concentrations are fitted on a log scale, so their intervals are calculated on that scale and are asymmetric, and their standard errors are approximate.

Examples

doses <- read_mst_dose_response(
  tidymst_example("dppr10-cy5_dose-response-flat.xlsx")
)
fits <- mst_fit(doses, .by = target)
mst_coefs(fits)
#> # A tibble: 4 × 7
#>   target  model term                 estimate     std_error conf_low conf_high
#>   <chr>   <chr> <chr>                   <dbl>         <dbl>    <dbl>     <dbl>
#> 1 atpH-fl kd    unbound               1.09e+3 2.44           1.09e+3   1.10e+3
#> 2 atpH-fl kd    bound                 8.51e+2 3.98           8.43e+2   8.59e+2
#> 3 atpH-fl kd    kd                    1.47e-8 0.00000000557  6.88e-9   3.16e-8
#> 4 atpH-fl kd    target_concentration  1.13e-7 0.0000000138   8.86e-8   1.45e-7