## EXAMPLE FILES AND DATA

*This page contains a number of examples using Apollo and associated datafiles, along with the results produced in a text file by Apollo. These examples are for the latest full release version of Apollo. Detailed descriptions for the examples are given in the manual and in the academic paper.
*

Model | Description | Data | |||||
---|---|---|---|---|---|---|---|

Family | Name | Script | Output | Name | Database | Dictionary | |

MNL | MNL_RP | .r | .txt | Simple MNL model on mode choice RP data | Mode choice | .csv | |

MNL_SP | .r | .txt | Simple MNL model on mode choice SP data | Mode choice | .csv | ||

MNL_SP_effects | .r | .txt | Simple MNL model on mode choice SP data using effects coding | Mode choice | .csv | ||

MNL_SP_WTP_space | .r | .txt | Simple MNL model on mode choice SP data in WTP space | Mode choice | .csv | ||

MNL_SP_covariates | .r | .txt | MNL model with socio-demographics on mode choice SP data | Mode choice | .csv | ||

MNL_RP_SP | .r | .txt | RP-SP model on mode choice data | Mode choice | .csv | ||

MNL_iterative_coding | .r | .txt | MNL model using iterative coding for alternatives and attributes | Synthetic | n/a | n/a | |

GEV | NL_two_levels | .r | .txt | Two-level NL model with socio-demographics on mode choice SP data | Mode choice | .csv | |

NL_two_levels_constraints_on_lambda | .r | .txt | Two-level NL model with socio-demographics on mode choice SP data, with constraint on lambda | Mode choice | .csv | ||

NL_three_levels | .r | .txt | Three-level NL model with socio-demographics on mode choice SP data | Mode choice | .csv | ||

NL_three_levels_constraints_on_lambdas | .r | .txt | Three-level NL model with socio-demographics on mode choice SP data, with constraints on lambdas | Mode choice | .csv | ||

CNL | .r | .txt | CNL model with socio-demographics on mode choice SP data | Mode choice | .csv | ||

CNL_constraint_on_alphas | .r | .txt | CNL model with socio-demographics on mode choice SP data, with constraint on alphas | Mode choice | .csv | ||

CNL_logistic_transform_for_alphas | .r | .txt | CNL model with socio-demographics on mode choice SP data, using logistic transform to ensure alphas meet constraints | Mode choice | .csv | ||

Non-RUM | RRM | .r | .txt | Simple RRM model on mode choice SP data | Mode choice | .csv | |

DFT_route_choice | .r | .txt | DFT model on Swiss route choice SP data | Swiss route choice | .csv | ||

DFT_mode_choice | .r | .txt | DFT model on mode choice SP data | Mode choice | .csv | ||

Ranking And rating |
EL | .r | .txt | Exploded logit model on drug choice data | Drug choice | .csv | |

BW_EL | .r | .txt | Best-worst logit model on drug choice data, using exploded logit function | Drug choice | .csv | ||

BW_joint_model | .r | .txt | Best-worst logit model on drug choice data (coded as two stages) | Drug choice | .csv | ||

BW_joint_model_diff_params | .r | .txt | Best-worst logit model on drug choice data, using different parameters for best and worse choices | Drug choices | .csv | ||

BW_simultaneous | .r | .txt | Best-worst model on drug choice data, simultaneous choice | Drug choices | .csv | ||

OL | .r | .txt | Ordered logit model fitted to attitudinal question in drug choice data | Drug choice | .csv | ||

OP | .r | .txt | Ordered probit model fitted to attitudinal question in drug choice data | Drug choice | .csv | ||

normal_density | .r | .txt | Normal density function fitted to attitudinal question in drug choice data | Drug choice | .csv | ||

Discrete- Continuous |
FMNL | .r | .txt | Fractional logit (FMNL) model on time use data | Time use | .csv | |

MDCEV_no_outside_good | .r | .txt | MDCEV model on time use data, alpha-gamma profile, no outside good and constants only in utilities | Time use | .csv | ||

MDCEV_with_outside_good | .r | .txt | MDCEV model on time use data, alpha-gamma profile with outside good and socio-demographics | Time use | .csv | ||

MDCNEV | .r | .txt | MDCNEV model on time use data, alpha-gamma profile with outside good and socio-demographics | Time use | .csv | ||

eMDC_with_budget | .r | .txt | Extended MDC with complementarity and substitution, with observed budget and socio-demographics | Time use | .csv | ||

eMDC_without_budget | .r | .txt | Extended MDC with complementarity and substitution, with unobserved budget and socio-demographics | Time use | .csv | ||

Mixture Models |
MMNL_preference_space | .r | .txt | Mixed logit model on Swiss route choice data, uncorrelated Lognormals in preference space | Swiss route choice | .csv | |

MMNL_preference_space_correlated | .r | .txt | Mixed logit model on Swiss route choice data, correlated Lognormals in utility space | Swiss route choice | .csv | ||

MMNL_wtp_space_inter_intra | .r | .txt | Mixed logit model on Swiss route choice data, WTP space with correlated and flexible distributions, inter and intra-individual heterogeneity | Swiss route choice | .csv | ||

ECL_preference_space_heteroskedasticity | .r | .txt | Error components logit model on Swiss route choice data, uncorrelated Lognormals in preference space, with heteroskedasticity term | Swiss route choice | .csv | ||

ECL_preference_space_panel_effect | .r | .txt | Error components logit model on Swiss route choice data, uncorrelated Lognormals in preference space, with panel effect term | Swiss route choice | .csv | ||

DM | .r | .txt | Simple DM model on Swiss route choice data | Swiss route choice | .csv | ||

LC_no_covariates | .r | .txt | Simple LC model on Swiss route choice data, no covariates in class allocation model | Swiss route choice | .csv | ||

LC_with_covariates | .r | .txt | LC model with covariates in class allocation model on Swiss route choice data | Swiss route choice | .csv | ||

LC_MMNL | .r | .txt | Latent class with continuous random parameters on Swiss route choice data | Swiss route choice | .csv | ||

Mixed_MDCEV | .r | .txt | Mixed MDCEV model on time use data, alpha-gamma profile, no outside good and random constants only in utilities | Time use | .csv | ||

Hybrid Choice |
Hybrid_with_continuous_measurement | .r | .txt | Hybrid choice model on drug choice data, using continuous measurement model for indicators | Drug choice | .csv | |

Hybrid_with_OL | .r | .txt | Hybrid choice model on drug choice data, using ordered measurement model for indicators | Drug choice | .csv | ||

Hybrid_with_OL_bugged_example | .r | n/a | Hybrid choice model on drug choice data, using ordered measurement model for indicators - with bug for debugging | Drug choice | .csv | ||

Hybrid_with_OL_and_MMNL | .r | .txt | Hybrid choice model on drug choice data, classical estimation | Drug choice | .csv | ||

Hybrid_LC_with_OL | .r | .txt | Hybrid latent class choice model on drug choice data, using ordered measurement model for indicators | Drug choice | .csv | ||

Alternative Estimation Approaches |
HB_MMNL | .r | .txt | HB model on mode choice SP data | Mode choice | .csv | |

Hybrid_with_OL_and_MMNL_bayesian | .r | .txt | Hybrid choice model on drug choice data, bayesian estimation | Drug choice | .csv | ||

EM_MMNL | .r | .txt | Mixed logit model on Swiss route choice data, correlated Lognormals in utility space, EM algorithm | Swiss route choice | .csv | ||

EM_LC_no_covariates | .r | .txt | LC model with class allocation model on Swiss route choice data, EM algorithm | Swiss route choice | .csv | ||

EM_LC_with_covariates | .r | .txt | LC model with class allocation model on Swiss route choice data, EM algorithm | Swiss route choice | .csv |