Package: cOde 1.1.1

cOde: Automated C Code Generation for 'deSolve', 'bvpSolve'

Generates all necessary C functions allowing the user to work with the compiled-code interface of ode() and bvptwp(). The implementation supports "forcings" and "events". Also provides functions to symbolically compute Jacobians, sensitivity equations and adjoint sensitivities being the basis for sensitivity analysis.

Authors:Daniel Kaschek

cOde_1.1.1.tar.gz
cOde_1.1.1.zip(r-4.5)cOde_1.1.1.zip(r-4.4)cOde_1.1.1.zip(r-4.3)
cOde_1.1.1.tgz(r-4.5-any)cOde_1.1.1.tgz(r-4.4-any)cOde_1.1.1.tgz(r-4.3-any)
cOde_1.1.1.tar.gz(r-4.5-noble)cOde_1.1.1.tar.gz(r-4.4-noble)
cOde_1.1.1.tgz(r-4.4-emscripten)cOde_1.1.1.tgz(r-4.3-emscripten)
cOde.pdf |cOde.html
cOde/json (API)

# Install 'cOde' in R:
install.packages('cOde', repos = c('https://dkaschek.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/dkaschek/code/issues

Datasets:

On CRAN:

Conda:

6.58 score 11 stars 3 packages 194 scripts 544 downloads 2 mentions 14 exports 0 dependencies

Last updated 3 years agofrom:3c9ddff410. Checks:4 OK, 5 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 25 2025
R-4.5-winOKMar 25 2025
R-4.5-macOKMar 25 2025
R-4.5-linuxOKMar 25 2025
R-4.4-winNOTEMar 25 2025
R-4.4-macNOTEMar 25 2025
R-4.4-linuxNOTEMar 25 2025
R-4.3-winNOTEMar 25 2025
R-4.3-macNOTEMar 25 2025

Exports:adjointSymbbvptwpCfunCgetSymbolsjacobianSymbodeCprodSymbreduceSensitivitiesreplaceNumbersreplaceOperationreplaceSymbolssensitivitiesSymbsetForcingssumSymb

Dependencies: