data_sim {SFPL} | R Documentation |
Rank data simulation
Description
Simulates (partial) rank data for multiple groups together with object variables.
Usage
data_sim(m, M, n, p, K, delta, eta)
Arguments
m |
Length of the partial ranking for each observation. |
M |
Total number of objects. |
n |
Number of observations (rankers) per group. |
p |
Number of object variables. |
K |
Number of groups. |
delta |
Approximate fraction of different coefficients across the |
eta |
Approximate fraction of sparse coefficients in |
Value
y |
A list consisting of |
x |
A |
beta |
A |
Author(s)
Sjoerd Hermes
Maintainer: Sjoerd Hermes sjoerd.hermes@wur.nl
References
1. Hermes, S., van Heerwaarden, J., and Behrouzi, P. (2024). Joint Learning from Heterogeneous Rank Data. arXiv preprint, arXiv:2407.10846
Examples
data_sim(3, 10, 50, 5, 2, 0.25, 0.25)