deepImp
Imputation with Deep Learning Methods
Imputation of mixed-type and compositional data with neural networks. The architecture (number and size of hidden layers, dropout, activation, optimiser) is user-configurable. See Templ (2021) <doi:10.1007/978-3-030-71175-7>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1.0 |
rolling linux/jammy R-4.5 | deepImp_1.1.0.tar.gz |
185.4 KiB |
1.1.0 |
rolling linux/noble R-4.5 | deepImp_1.1.0.tar.gz |
185.3 KiB |
1.1.0 |
rolling source/ R- | deepImp_1.1.0.tar.gz |
133.2 KiB |
1.1.0 |
latest linux/jammy R-4.5 | deepImp_1.1.0.tar.gz |
185.4 KiB |
1.1.0 |
latest linux/noble R-4.5 | deepImp_1.1.0.tar.gz |
185.3 KiB |
1.1.0 |
latest source/ R- | deepImp_1.1.0.tar.gz |
133.2 KiB |
1.1.0 |
2026-04-23 source/ R- | deepImp_1.1.0.tar.gz |
0 B |