CalculatePrecisionAndRecallForMultiple: This function is used to compute the results for a simulation...

In HamdaBinteAjmal/DBN4GRN: An R Package for Learning Sparse DBN Structures to Reverse Engineer Gene Regulatory Networks

Description

This function is used to compute the results for a simulation study. It computes individual precision, recall, hamming distance and balanced accuracy of each learned DBN structure and then calculates the mean and sd of all the individual results.

Usage

CalculatePrecisionAndRecallForMultiple(DBNList, datasets)

Arguments

DBNList	a list of learned DBN structures
datasets	a list of datasets simulated using the SimulateData() function. It holds the true DBN network structure (Adjaceny matrix)

Value

a list of different parameters:"precision_mean","precision_sd","recall_mean", "recall_sd", "hamming_mean", "hamming_sd", "TN_mean", "TN_sd","FN_mean" , "FN_sd", "FP_mean", "FP_sd", "TP_mean", "TP_sd", "Accuracy" , "Accuracy_sd".

HamdaBinteAjmal/DBN4GRN documentation built on Dec. 27, 2021, 2:08 p.m.