calculate_featureimp_cor: Compare feature importances derived by both trajectories
In dynverse/dyneval: Evaluating trajectory inference methods

Compare feature importances derived by both trajectories

1
2
3

calculate_featureimp_cor(dataset, prediction,
  expression_source = dataset$expression_source,
  fi_method = dynfeature::fi_ranger_rf_lite())

`dataset`	A dataset
`prediction`	A predicted trajectory
`expression_source`	The expression data matrix, with features as columns. If a matrix is provided, it is used as is. If a character is provided, `dataset[[expression_source]]` should contain the matrix. If a function is provided, that function will be called in order to obtain the expression (useful for lazy loading).
`fi_method`	A feature importance method. Default: `fi_ranger_rf_lite()`. Check `?fi_methods` for a full list of available feature importance methods.