Package: orbital 0.2.0.9000

Emil Hvitfeldt

orbital: Predict with 'tidymodels' Workflows in Databases

Turn 'tidymodels' workflows into objects containing the sufficient sequential equations to perform predictions. These smaller objects allow for low dependency prediction locally or directly in databases.

Authors:Emil Hvitfeldt [aut, cre], Posit Software, PBC [cph, fnd]

orbital_0.2.0.9000.tar.gz
orbital_0.2.0.9000.zip(r-4.5)orbital_0.2.0.9000.zip(r-4.4)orbital_0.2.0.9000.zip(r-4.3)
orbital_0.2.0.9000.tgz(r-4.4-any)orbital_0.2.0.9000.tgz(r-4.3-any)
orbital_0.2.0.9000.tar.gz(r-4.5-noble)orbital_0.2.0.9000.tar.gz(r-4.4-noble)
orbital_0.2.0.9000.tgz(r-4.4-emscripten)orbital_0.2.0.9000.tgz(r-4.3-emscripten)
orbital.pdf |orbital.html✨
orbital/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/tidymodels/orbital/issues

Pkgdown:https://orbital.tidymodels.org

On CRAN:

6.02 score 21 stars 9 scripts 170 downloads 8 exports 16 dependencies

Last updated 1 months agofrom:055df81ffe. Checks:OK: 1 ERROR: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 28 2024
R-4.5-winERRORNov 28 2024
R-4.5-linuxERRORNov 28 2024
R-4.4-winERRORNov 28 2024
R-4.4-macERRORNov 28 2024
R-4.3-winERRORNov 28 2024
R-4.3-macERRORNov 28 2024

Exports:augmentorbitalorbital_dtorbital_inlineorbital_json_readorbital_json_writeorbital_r_funorbital_sql

Dependencies:clidplyrfansigenericsgluelifecyclemagrittrpillarpkgconfigR6rlangtibbletidyselectutf8vctrswithr

Supported Models and recipes steps

Rendered fromsupported-models.Rmdusingknitr::rmarkdownon Nov 28 2024.

Last update: 2024-07-27
Started: 2024-07-25