transcripty.probabilitymodels package¶

Submodules¶

transcripty.probabilitymodels.common_probability module¶

class transcripty.probabilitymodels.common_probability.CommonProbabilityModel(p, sigma, Tc, ncoursesattempted, ncreditspercourse, ncreditsgrad)¶

Bases: transcripty.model.CreditAccumulationModel

This is a child class of CreditAccumulationModel. It implements a call method which evaluates the probability of passing courses given an individual’s ability level and gpa. This method allows the parent class to take care of all simulation

In this model, all individual’s share a probability of passing a course.

p¶

The common probability of passing a course

Type: float64

sigma¶

The standard deviation of the GPA shock. The higher the sigma, the less correlated ability and GPA are.

Type: float64

Tc¶

The number of years an individual can stay enrolled in college

Type: int

ncoursesattempted¶

The number of courses an individual attempts per year

Type: int

ncreditspercourse¶

The number of credits each course is worth

Type: int

ncreditsgrad¶

The number of credits required to graduate

Type: int

transcripty.probabilitymodels.heterogeneous_probability module¶

class transcripty.probabilitymodels.heterogeneous_probability.HeterogeneousProbabilityModel(gamma_min, gamma_1, gamma_2, sigma, Tc, ncoursesattempted, ncreditspercourse, ncreditsgrad)¶

Bases: transcripty.model.CreditAccumulationModel

This is a child class of CreditAccumulationModel. It implements a call method which evaluates the probability of passing courses given an individual’s ability level and gpa. This method allows the parent class to take care of all simulation

In this model, the probability with which a student passes their courses is given by

\[p(a) = \frac{1 - \gamma_\text{min}}{1 + \gamma_1 \exp^{-\gamma_2 a_i}}\]

gamma_min¶

The minimum probability of passing a course

Type: float64

gamma_1¶

A parameter of the probability function

Type: float64

gamma_2¶