Emax model with arbitrary covariates (does not support interactions)

Usage

emax_nls(structural_model, covariate_model, data, init = NULL, opts = NULL)

Arguments

structural_model: A two-sided formula of the form response ~ exposure
covariate_model: A list of two-sided formulas, each of specifying a covariate model for a structural parameter
data: A data frame
init: Initial values and bounds for parameters. See emax_nls_init()
opts: Model fitting and optimization options. See emax_nls_options()

Value

An object of class emaxnls

Examples

emax_nls(
  structural_model = rsp_1 ~ exp_1, 
  covariate_model = list(E0 ~ cnt_a, Emax ~ 1, logEC50 ~ 1), 
  data = emax_df
)
#> Structural model:
#> 
#>   Exposure:  exp_1 
#>   Response:  rsp_1 
#>   Emax type: hyperbolic 
#> 
#> Covariate model:
#> 
#>   E0:       E0 ~ cnt_a 
#>   Emax:     Emax ~ 1 
#>   logEC50:  logEC50 ~ 1 
#> 
#> Coefficient table:
#> 
#>   label             estimate std_error t_statistic   p_value ci_lower ci_upper
#> 1 E0_cnt_a             0.486    0.0116        42.1 3.63e-148    0.463    0.509
#> 2 E0_Intercept         5.05     0.0759        66.6 4.16e-217    4.91     5.20 
#> 3 Emax_Intercept       9.97     0.112         89.3 2.11e-264    9.75    10.2  
#> 4 logEC50_Intercept    8.27     0.0394       210.  0            8.19     8.35