MnemonicDiscriminationIndex.jl

Package for our new index of mnemonic discrimination
Author cpsylab
Popularity
1 Star
Updated Last
7 Months Ago
Started In
November 2023

MnemonicDiscriminationIndex.jl

PkgEval

Package for our new index of mnemonic discrimination

Installation

To install this package to you environment, run

julia> ]add MnemonicDiscriminationIndex.jl

in the Julia REPL. To prevent breakage, add a compat entry to the version you install in your environment's Project.toml as the API might be improved over time.

Basic Usage

For a workflow similar to the paper using the logistic5, lets assume we have our MST data.

julia> using MnemonicDiscriminationIndex

julia> old_or_new = [0,0,0,1,0,1,1,1]
8-element Vector{Int64}:
 0
 0
 0
 1
 0
 1
 1
 1

julia> dissimilarity = 0:(1/7):1
0.0:0.14285714285714285:1.0

Then, we fit our data to the logistic5 curve (using a reproducible rng) and save the parameters:

julia> using StableRNGs

julia> logistic5_results = fit_logistic5(dissimilarity, old_or_new; rng=StableRNG(123));

Now, we have an MDIResult object with all the information needed:

julia> logistic5_results.auc
0.44583208733243396

julia> logistic5_results.Δ
0.9390919680940668

julia> logistic5_results.λ
0.5252519428557438

To fit to a different function than logistic5, check out the docstrings for fit_model by calling ?fit_model in the REPL.

Paper

Code for the paper can be found here.

Release v0.1.0 of this repository is the version of the code used in the paper.

Used By Packages

No packages found.