ModEstM
Mode Estimation, Even in the Multimodal Case
Function ModEstM() is the only one of this package, it estimates the modes of an empirical univariate distribution. It relies on the stats::density() function, even for input control. Due to very good performance of the density estimation, computation time is not an issue. The multiple modes are handled using dplyr::group_by(). For conditions and rates of convergences, see Eddy (1980) <doi:10.1214/aos/1176345080>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.0.1 |
rolling linux/jammy R-4.5 | ModEstM_0.0.1.tar.gz |
9.5 KiB |
0.0.1 |
rolling linux/noble R-4.5 | ModEstM_0.0.1.tar.gz |
9.5 KiB |
0.0.1 |
rolling source/ R- | ModEstM_0.0.1.tar.gz |
1.9 KiB |
0.0.1 |
latest linux/jammy R-4.5 | ModEstM_0.0.1.tar.gz |
9.5 KiB |
0.0.1 |
latest linux/noble R-4.5 | ModEstM_0.0.1.tar.gz |
9.5 KiB |
0.0.1 |
latest source/ R- | ModEstM_0.0.1.tar.gz |
1.9 KiB |
0.0.1 |
2026-04-26 source/ R- | ModEstM_0.0.1.tar.gz |
1.9 KiB |
0.0.1 |
2026-04-23 source/ R- | ModEstM_0.0.1.tar.gz |
1.9 KiB |
0.0.1 |
2026-04-09 windows/windows R-4.5 | ModEstM_0.0.1.zip |
12.4 KiB |
0.0.1 |
2025-04-20 source/ R- | ModEstM_0.0.1.tar.gz |
1.9 KiB |