apollo0.3.3 package

Scales variables inside a function

Keeps only some rows

Creates log-likelihood function.

Calculates MDCEV likelihoods

Calculates MDCEV likelihoods

Calculates MDCNEV likelihoods

Prints message to terminal

Bootstrap a model

Loads model from file

Calculates density for a Normal distribution

Calculates Ordered Logit probabilities

Calculates Ordered Probit probabilities

Cross-validation of fit (LL)

Prints summary of Apollo model

Expands loops in a function or expression

Adds covariance matrix to Apollo model

Attaches predefined variables.

Averages across inter-individual draws.

Averages across intra-individual draws.

Ben-Akiva & Swait test

Checks definitions of Apollo functions

Reports market share for subsamples

Calculates class allocation probabilities for a Latent Class model

Calculates Cross-Nested Logit probabilities

Combines separate model components.

Inserts rows

Write model results to file

Compares the content of apollo_inputs to their counterparts in the glo...

Calculates conditionals

Delta method for Apollo models

Detaches parameters and the database.

Calculate DFT probabilities

Pre-process input for common models return

Calculates gradients of utility functions

Calculates gradients of utility functions

Calculates Exploded Logit probabilities

Introduces quotes into rrm_settings

MDC model with exogenous budget

MDC model with exogenous budget

Extended MDC

Estimates model

Estimates model using Bayesian estimation

Keeps only the first row for each individual

Compares log-likelihood of model across categories

Calculates Fractional Multinomial Logit probabilities

Calculates Fractional Nested Logit probabilities

Prepares environment

Adds componentName2 to model calls

Modifies function to make it compatible with analytic gradients

Replaces tau=c(...) by tau=list(...) in calls to apollo_ol

Calculates the likelihood of a latent class model

Calculates conditionals for latent class models.

Uses EM for latent class model

Returns unconditionals for a latent class model model

Calculates log-likelihood of all model components

Converts data from long to wide format.

Likelihood ratio test

Creates cluster for estimation.

Creates draws for models with mixing

Creates gradient function.

Creates hessian function.

Calculates conditionals for continuous mixture models

Uses EM for models with continuous random coefficients

Returns draws for continuously distributed random parameters in mixtur...

Generate random draws using MLHS algorithm

Calculates Multinomial Logit probabilities

Prints estimation results to console

Checks and modifies Apollo user-defined functions

Calculates Nested Logit probabilities

Calculates own model probabilities

Calculates product across observations from same individual.

Predicts using an estimated model

Checks likelihood function

Pre-process input for multiple models return

Reads parameters from file

Calculates Random Regret Minimisation model probabilities

Saves estimation results to files.

Searches for better starting values.

Sets specified rows to a given value

Compares predicted and observed shares

Starts or stops writing output to a text file.

Measures evaluation time of a model

Returns unconditionals for models with random heterogeneity

Pre-process input for common models return

Validates apollo_control

Validates data

Validates the apollo_HB list of parameters

Prepares input for apollo_estimate

Calculates variance-covariance matrix of an Apollo model

Lists variable names and definitions used inside a function

Applies weights

Writes an F12 file

Writes the vector [beta,ll] to a file called `modelname_iterations.csv...

Validates and expands rows if necessary.

Prints package startup message

Prints brief summary of Apollo model