Get the hyper parameters
hyper_parameters(object, ...)
| object | the object to get from |
|---|---|
| ... | additional arguments used by the concrete implementation |
a list with the values for each fitted hyper-parameter
accessor_methods for the implementation for a 'proDAFit' object
syn_data <- generate_synthetic_data(n_proteins = 10) fit <- proDA(syn_data$Y, design = syn_data$groups) hyper_parameters(fit)#> $location_prior_mean #> [1] 19.62461 #> #> $location_prior_scale #> [1] 5.773546 #> #> $location_prior_df #> [1] 3 #> #> $variance_prior_scale #> [1] 0.07859149 #> #> $variance_prior_df #> [1] 19.13188 #> #> $dropout_curve_position #> [1] 18.33074 18.88436 18.91053 18.64182 18.79785 18.83965 #> #> $dropout_curve_scale #> [1] -0.0001000 -0.0001000 -0.8455512 -0.6180270 -0.0001000 -1.3642441 #>