Package: lazy 1.2-18
lazy: Lazy Learning for Local Regression
By combining constant, linear, and quadratic local models, lazy estimates the value of an unknown multivariate function on the basis of a set of possibly noisy samples of the function itself. This implementation of lazy learning automatically adjusts the bandwidth on a query-by-query basis through a leave-one-out cross-validation.
Authors:
lazy_1.2-18.tar.gz
lazy_1.2-18.zip(r-4.5)lazy_1.2-18.zip(r-4.4)lazy_1.2-18.zip(r-4.3)
lazy_1.2-18.tgz(r-4.4-x86_64)lazy_1.2-18.tgz(r-4.4-arm64)lazy_1.2-18.tgz(r-4.3-x86_64)lazy_1.2-18.tgz(r-4.3-arm64)
lazy_1.2-18.tar.gz(r-4.5-noble)lazy_1.2-18.tar.gz(r-4.4-noble)
lazy_1.2-18.tgz(r-4.4-emscripten)lazy_1.2-18.tgz(r-4.3-emscripten)
lazy.pdf |lazy.html✨
lazy/json (API)
# Install 'lazy' in R: |
install.packages('lazy', repos = c('https://theoverhelst.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:a6b6c55f02. Checks:OK: 8 NOTE: 1. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 20 2024 |
R-4.5-win-x86_64 | NOTE | Nov 20 2024 |
R-4.5-linux-x86_64 | OK | Nov 20 2024 |
R-4.4-win-x86_64 | OK | Nov 20 2024 |
R-4.4-mac-x86_64 | OK | Nov 20 2024 |
R-4.4-mac-aarch64 | OK | Nov 20 2024 |
R-4.3-win-x86_64 | OK | Nov 20 2024 |
R-4.3-mac-x86_64 | OK | Nov 20 2024 |
R-4.3-mac-aarch64 | OK | Nov 20 2024 |
Exports:lazylazy.controlpredict.lazyprint.lazyprint.summary.lazysummary.lazy
Dependencies:
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Lazy learning for local regression | lazy print.lazy print.summary.lazy summary.lazy |
Set parameters for lazy learning | lazy.control |
Predict method for lazy learning | predict.lazy |