Package: OSCV 1.0

OSCV: One-Sided Cross-Validation

Functions for implementing different versions of the OSCV method in the kernel regression and density estimation frameworks. The package mainly supports the following articles: (1) Savchuk, O.Y., Hart, J.D. (2017). Fully robust one-sided cross-validation for regression functions. Computational Statistics, <doi:10.1007/s00180-017-0713-7> and (2) Savchuk, O.Y. (2017). One-sided cross-validation for nonsmooth density functions, <arxiv:1703.05157>.

Authors:Olga Savchuk

OSCV_1.0.tar.gz
OSCV_1.0.zip(r-4.5)OSCV_1.0.zip(r-4.4)OSCV_1.0.zip(r-4.3)
OSCV_1.0.tgz(r-4.4-any)OSCV_1.0.tgz(r-4.3-any)
OSCV_1.0.tar.gz(r-4.5-noble)OSCV_1.0.tar.gz(r-4.4-noble)
OSCV_1.0.tgz(r-4.4-emscripten)OSCV_1.0.tgz(r-4.3-emscripten)
OSCV.pdf |OSCV.html✨
OSCV/json (API)

# Install 'OSCV' in R:

install.packages('OSCV', repos = c('https://osavchuk.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.23 score 17 scripts 133 downloads 17 exports 70 dependencies

Last updated 8 years agofrom:55e157c207. Checks:OK: 7. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 10 2024
R-4.5-win	OK	Nov 10 2024
R-4.5-linux	OK	Nov 10 2024
R-4.4-win	OK	Nov 10 2024
R-4.4-mac	OK	Nov 10 2024
R-4.3-win	OK	Nov 10 2024
R-4.3-mac	OK	Nov 10 2024

Exports:ASE_reg C_smooth CV_reg fstar h_ASE_reg H_I h_OSCV_dens h_OSCV_reg ISE_fstar L_I loclin OSCV_Epan_dens OSCV_Gauss_dens OSCV_LI_dens OSCV_reg reg3 sample_fstar

Dependencies:abind backports boot broom car carData cli colorspace corrplot cowplot cpp11 Deriv doBy dplyr fansi farver Formula generics ggplot2 ggpubr ggrepel ggsci ggsignif glue gridExtra gtable isoband labeling lattice lifecycle lme4 magrittr MASS Matrix MatrixModels mc2d mgcv microbenchmark minqa modelr munsell mvtnorm nlme nloptr nnet numDeriv pbkrtest pillar pkgconfig polynom purrr quantreg R6 RColorBrewer Rcpp RcppEigen rlang rstatix scales SparseM stringi stringr survival tibble tidyr tidyselect utf8 vctrs viridisLite withr

Help page	Topics
The ASE function for the local linear estimator (LLE) in the regression context.	ASE_reg
The OSCV smooth rescaling constant.	C_smooth
The cross-validation (CV) function in the regression context.	CV_reg
Nonsmooth density function with seven cusps.	fstar
The ASE-optimal bandwidth in the regression context.	h_ASE_reg
The family of two-sided cross-validation kernels H_I.	H_I
The OSCV bandwidth in the density estimation context.	h_OSCV_dens
The OSCV bandwidth in the regression context.	h_OSCV_reg
The ISE function in the kernel density estimation (KDE) context in the case when the underlying density is 'fstar'.	ISE_fstar
The family of one-sided cross-validation kernels L_I.	L_I
Computing the local linear estimate (LLE).	loclin
The OSCV function based on L_E, the one-sided Epanechnikov kernel, in the kernel density estimation (KDE) context.	OSCV_Epan_dens
The OSCV function based on L_G, the one-sided Gaussian kernel, in the kernel density estimation (KDE) context.	OSCV_Gauss_dens
The OSCV function based on the kernel 'L_I' in the density estimation (KDE) context.	OSCV_LI_dens
The OSCV function in the regression context.	OSCV_reg
Nonsmooth regression function with six cusps.	reg3
Taking a random sample from 'fstar'.	sample_fstar

Package: OSCV 1.0

OSCV: One-Sided Cross-Validation

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