nabla
Exact Derivatives via Automatic Differentiation
Exact automatic differentiation for R functions. Provides a composable derivative operator D that computes gradients, Hessians, Jacobians, and arbitrary-order derivative tensors at machine precision. D(D(f)) gives Hessians, D(D(D(f))) gives third-order tensors for skewness of maximum likelihood estimators, and so on to any order. Works through any R code including loops, branches, and control flow.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.7.1 |
rolling linux/jammy R-4.5 | nabla_0.7.1.tar.gz |
684.7 KiB |
0.7.1 |
rolling linux/noble R-4.5 | nabla_0.7.1.tar.gz |
685.5 KiB |
0.7.1 |
rolling source/ R- | nabla_0.7.1.tar.gz |
494.9 KiB |
0.7.1 |
latest linux/jammy R-4.5 | nabla_0.7.1.tar.gz |
684.7 KiB |
0.7.1 |
latest linux/noble R-4.5 | nabla_0.7.1.tar.gz |
685.5 KiB |
0.7.1 |
latest source/ R- | nabla_0.7.1.tar.gz |
494.9 KiB |
0.7.1 |
2026-04-26 source/ R- | nabla_0.7.1.tar.gz |
494.9 KiB |
0.7.1 |
2026-04-23 source/ R- | nabla_0.7.1.tar.gz |
494.9 KiB |
0.7.1 |
2026-04-09 windows/windows R-4.5 | nabla_0.7.1.zip |
696.7 KiB |