| Type: | Package |
| Title: | Out-of-Treatment Testing |
| Version: | 0.9.1 |
| Maintainer: | Philipp Külpmann <philipp@kuelpmann.org> |
| Description: | Implements the out-of-treatment testing from Kuelpmann and Kuzmics (2020) <doi:10.2139/ssrn.3441675> based on the Vuong Test introduced in Vuong (1989) <doi:10.2307/1912557>. Out-of treatment testing allows for a direct, pairwise likelihood comparison of theories, calibrated with pre-existing data. |
| License: | MIT + file LICENSE |
| Encoding: | UTF-8 |
| LazyData: | true |
| RoxygenNote: | 7.1.2 |
| Suggests: | knitr, rmarkdown, xtable, testthat (≥ 3.0.0), covr |
| Config/testthat/edition: | 3 |
| Depends: | R (≥ 3.5.0) |
| URL: | https://github.com/PhilippKuelpmann/oottest |
| BugReports: | https://github.com/PhilippKuelpmann/oottest/issues |
| VignetteBuilder: | knitr |
| NeedsCompilation: | no |
| Packaged: | 2022-04-25 09:42:03 UTC; philipp |
| Author: | Philipp Külpmann 
[aut, cre],
Panagiota Charalampidou [aut],
University of Vienna [cph] |
| Repository: | CRAN |
| Date/Publication: | 2022-04-27 08:40:02 UTC |
oottest: Out-of-Treatment Testing
Description
Implements the out-of-treatment testing from Kuelpmann and Kuzmics (2020) <doi:10.2139/ssrn.3441675> based on the Vuong Test introduced in Vuong (1989) <doi:10.2307/1912557>. Out-of treatment testing allows for a direct, pairwise likelihood comparison of theories, calibrated with pre-existing data.
Author(s)
Maintainer: Philipp Külpmann philipp@kuelpmann.org (ORCID)
Authors:
Panagiota Charalampidou
Other contributors:
University of Vienna [copyright holder]
See Also
Useful links:
Report bugs at https://github.com/PhilippKuelpmann/oottest/issues
Data from the three-action games
Description
This is the choice data from Kuelpmann and Kuzmics (2022) for the three-action games, i.e., Hawk-Middle-Dove and Rock-Paper-Scissor. For an explanation of the different treatments and the games, please refer to the paper.
Usage
data_three_action_games
Format
Need to reformat anyway ...
- rows
actions
- columns
treatments
- cells
number of subjects who chose each action on each treatment
...
Source
https://homepage.univie.ac.at/philipp.kuelpmann/hdg.html
Data from the two-action games
Description
This is the choice data from Kuelpmann and Kuzmics (2022) for the two-action games, i.e., Hawk-Dove and Matching Pennies. For an explanation of the different treatments and the games, please refer to the paper.
Usage
data_two_action_games
Format
- rows
actions
- columns
treatments
- cells
number of subjects who chose each action on each treatment
...
Source
https://homepage.univie.ac.at/philipp.kuelpmann/hdg.html
Predictions for the three-action games
Description
These are the prediction of every theory considered in Kuelpmann and Kuzmics (2022) for the three-action games. For a explanation of the different theories, treatments and the games, please refer to the paper.
Usage
predictions_three_action_games
Format
- rows
predicted probabilities of actions
- columns
treatments
- tables
different theories
- cells
probability of choosing an action on each treatment depending on the theory
...
Source
https://homepage.univie.ac.at/philipp.kuelpmann/hdg.html
Predictions for the two-action games
Description
These are the prediction of every theory considered in Kuelpmann and Kuzmics (2022) for the two-action games. For a explanation of the different theories, treatments and the games, please refer to the paper.
Usage
predictions_two_action_games
Format
- rows
predicted probabilities of actions
- columns
treatments
- tables
different theories
- cells
probability of choosing an action on each treatment depending on the theory
...
Source
https://homepage.univie.ac.at/philipp.kuelpmann/hdg.html
Simple Test Data
Description
This is just very simple test data, mostly used for testing and demonstration purposes.
Usage
simple_test_data
Format
A matrix with 3 rows and 2 columns
- rows
actions
- columns
treatments
- cells
number of subjects who chose each action on each treatment
...
Getting a vuong matrix
Description
Getting a vuong matrix
Usage
vuong_matrix(data, theories)
Arguments
data |
matrix rows: choices, columns: treatments |
theories |
list of matrices each in the same format as above |
Value
Table of z-scores for all comparisons
Examples
vuong_matrix(data_two_action_games, predictions_two_action_games)
Implementation of the Vuong test for our setting
Description
Implementation of the Vuong test for our setting
Usage
vuong_statistic(data, pred_i, pred_j)
Arguments
data |
Data of the experiment (matrix of ints/data.frame): columns are treatments, rows are actions, values are number of subjects who chose each action on each treatment |
pred_i |
Model prediction for a theory (matrix of doubles/data.frame): rows are prediction of playing action 1,2,3..., columns are treatments |
pred_j |
Model prediction for a theory (matrix of doubles/data.frame): rows are prediction of playing action 1,2,3..., columns are treatments |
Value
The z score of testing theory I against theory J, given the data
Examples
vuong_statistic(
data_two_action_games,
predictions_two_action_games[, , 1],
predictions_two_action_games[, , 2]
)