tasccoda.tree_results.CAResult_tree.complete_beta_df

CAResult_tree.complete_beta_df(intercept_df, effect_df, node_df)

Evaluation of MCMC results for feature-level effect parameters. This function is only used within self.summary_prepare.

Parameters

intercept_df : DataFrameDataFrame

Intercept summary, see self.summary_prepare

effect_df : DataFrameDataFrame

Feature-level effect summary, see self.summary_prepare

node_df : DataFrameDataFrame

Node-level effect summary, see self.summary_prepare

Return type

DataFrameDataFrame

Returns

• effect DataFrame

• effect_df – DataFrame with final parameters, expected sample, log-fold change