Package index

Model definition

double_exponential-class

Double-exponential Class

double_exponential()

Constructor for the double_exponential-class

exponential-class

Exponential Class

exponential()

Constructor for the exponential-class

model-class

Model Class

model()

Constructor for the model-class

quasi_hyperbolic-class

Quasi-hyperbolic Class

quasi_hyperbolic()

Constructor for the quasi_hyperbolic-class

Data

dataset-class

Dataset Class

dataset()

Constructor for the dataset-class

Simulation

predict(<exponential>) predict(<quasi_hyperbolic>) predict(<double_exponential>)

Compute the model expectations

recovery()

Simulate and estimate a model

simulate(<model>)

Method for simulating from a model

Estimation

fit()

Fit a model to data

objective_function()

Objective function

Statistics

aic()

Compute the \(AIC\) based on \(SSE\)

autocorrelation()

Compute the autocorrelation of the residuals

bias()

Compute the mean of the residuals

bic()

Compute the \(BIC\) based on \(SSE\)

Utility

count_covariance()

Count the number of parameters in the covariance matrix

count_parameters()

Count number of parameters for a model

fill()

Change model parameters

generate_parameters()

Generate model parameters

get_bounds()

Get bounds of the parameters of a model

get_bounds_covariance()

Get bounds for the parameters in the covariance matrix

index()

Index model parameters

index_covariance()

Index the covariance matrix

parameter_names()

Name the relevant parameters of the model

parameter_names_covariance()

Get the names for the parameters in the covariance matrix

parameters()

Extract model parameters