npmlda
Nonparametric Models for Longitudinal Data
Support the book: Wu CO and Tian X (2018). Nonparametric Models for Longitudinal Data. Chapman & Hall/CRC (to appear); and provide fit for using global and local smoothing methods for the conditional-mean and conditional-distribution based models with longitudinal Data.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.0 |
rolling linux/jammy R-4.5 | npmlda_1.0.0.tar.gz |
64.4 KiB |
1.0.0 |
rolling linux/noble R-4.5 | npmlda_1.0.0.tar.gz |
64.4 KiB |
1.0.0 |
rolling source/ R- | npmlda_1.0.0.tar.gz |
36.6 KiB |
1.0.0 |
latest linux/jammy R-4.5 | npmlda_1.0.0.tar.gz |
64.4 KiB |
1.0.0 |
latest linux/noble R-4.5 | npmlda_1.0.0.tar.gz |
64.4 KiB |
1.0.0 |
latest source/ R- | npmlda_1.0.0.tar.gz |
36.6 KiB |
1.0.0 |
2026-04-26 source/ R- | npmlda_1.0.0.tar.gz |
36.6 KiB |
1.0.0 |
2026-04-23 source/ R- | npmlda_1.0.0.tar.gz |
36.6 KiB |
1.0.0 |
2026-04-09 windows/windows R-4.5 | npmlda_1.0.0.zip |
67.8 KiB |
1.0.0 |
2025-04-20 source/ R- | npmlda_1.0.0.tar.gz |
36.6 KiB |