SmithWagnerCV

This module produces critical values for the disaggregated learning types as described in Smith and Wagner (2018) and Smith and White (2021).

Examples

Run a Monte Carlo Simulation of mu value of 0.1 and 25 students.

from SmithWagnerCV import RunSimulation

d = RunSimulation(25, 0.1)

Simulate all combinations of [10,20] students and [0.1,0.5] mu values and return them as a dictionary

from SmithWagnerCV import SimulationTable

d = SimulationTable([10,20], [0.1,0.5])

Simulate all combinations of [10,20] students and [0.1,0.5] mu values and save them to CSV files

from SmithWagnerCV import SaveSimulationTable 

d = SaveSimulationTable([10,20], [0.1,0.5])

Installation

Using the pip tool, you can install this module with the following command:

pip install SmithWagnerCV

Using the conda command you can type the following:

conda install -c tazzben smithwagnercv