Package: PLRModels 1.4
Ana Lopez-Cheda
PLRModels: Statistical Inference in Partial Linear Regression Models
Contains statistical inference tools applied to Partial Linear Regression (PLR) models. Specifically, point estimation, confidence intervals estimation, bandwidth selection, goodness-of-fit tests and analysis of covariance are considered. Kernel-based methods, combined with ordinary least squares estimation, are used and time series errors are allowed. In addition, these techniques are also implemented for both parametric (linear) and nonparametric regression models.
Authors:
PLRModels_1.4.tar.gz
PLRModels_1.4.tar.gz(r-4.5-noble)PLRModels_1.4.tar.gz(r-4.4-noble)
PLRModels_1.4.tgz(r-4.4-emscripten)PLRModels_1.4.tgz(r-4.3-emscripten)
PLRModels.pdf |PLRModels.html✨
PLRModels/json (API)
| # Install 'PLRModels' in R: |
| install.packages('PLRModels', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- barnacles1 - Sales of barnacles in Cedeira
- barnacles2 - Sales of barnacles in Cangas
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:0a13da2e29. Checks:2 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Jan 29 2025 |
| R-4.5-linux | OK | Jan 29 2025 |
Exports:np.ancovanp.cvnp.estnp.gcvnp.gofpar.ancovapar.cipar.estpar.gofplrm.ancovaplrm.betaplrm.ciplrm.cvplrm.estplrm.gcvplrm.gof
Dependencies:
