Sieve: Nonparametric Estimation by the Method of Sieves

Performs multivariate nonparametric regression/classification by the method of sieves (or using orthogonal series). The method is suitable for continuous/binary problems with multivariate or moderate high-dimensional features (dimension < 100). The main estimator in this package, penalized sieve estimator, is adaptive to the feature dimension with provable theoretical guarantees. Moreover, such a method is computationally tractable in the sense it typically has a polynomial dependence (rather than an exponential one) on the feature dimension and an almost linear dependence on the sample size. Details of the methods and model assumptions can be found in: Tianyu Zhang, and Noah Simon (2022) <arXiv:2206.02994>.

Version: 1.0
Imports: Rcpp (≥ 1.0.7), combinat, glmnet, methods
LinkingTo: Rcpp, RcppArmadillo
Published: 2022-06-22
Author: Tianyu Zhang
Maintainer: Tianyu Zhang <zty at>
License: GPL-2
NeedsCompilation: yes
Materials: README
CRAN checks: Sieve results


Reference manual: Sieve.pdf


Package source: Sieve_1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): Sieve_1.0.tgz, r-oldrel (arm64): Sieve_1.0.tgz, r-release (x86_64): Sieve_1.0.tgz, r-oldrel (x86_64): Sieve_1.0.tgz


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