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fsemipar

1.1.1Package record

Estimation, Variable Selection and Prediction for Functional Semiparametric Models

0packages depend
2.5Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Routines for the estimation or simultaneous estimation and variable selection in several functional semiparametric models with scalar responses are provided. These models include the functional single-index model, the semi-functional partial linear model, and the semi-functional partial linear single-index model. Additionally, the package offers algorithms for handling scalar covariates with linear effects that originate from the discretization of a curve. This functionality is applicable in the context of the linear model, the multi-functional partial linear model, and the multi-functional partial linear single-index model.

Install

Health

CRAN checks
13OK
Slowest check: 3.7 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.1.1
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
37includes a package overview page
Examples that run
32%9 run in a plain check · 19 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
79%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
62%

Downloads

2.5K
CRAN downloads in the past year
Rank #19,097 · ~7/day · ~212/mo
Daily download trend is not available in this view yet.
26030 days
69290 days
2.5K1 year
Compare downloads with other packages →
Also on72 r2u7 autocran

Dependencies

Declared dependencies
9 external dependencies (excludes base and recommended)

Installing fsemipar adds 37 packages (19 with compiled code, 30 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, isoband 1.5 MB.

Depends (2)
R >= 3.5.0grpreg
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (2)
Author, Maintainer since 1.0 (2023)
Releases (4)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 1.1.1Latest
    record
    2024-05-21 · current release · diff ↗
  • 1.1.0
    record
    2024-04-27 · diff ↗ ·
    added 2 exports
    fsim.kernel.fit.optim, fsim.kNN.fit.optim
  • R
    R 4.4.0 released · 2024-04-24
  • 1.0.1
    record
    2024-02-21 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 1.0
    record
    2023-01-23
  • R
    R 4.2.0 released · 2022-04-22

Package metadata

First published
2023-01-23
Total releases
4 / 3 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 3.5.0
Bundled data
949 KB / 2 files
Download size
1.0 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("fsemipar")
Novo, S., & Aneiros, G. (2024). fsemipar: Estimation, Variable Selection and Prediction for Functional Semiparametric Models (Version 1.1.1) [Computer software]. https://doi.org/10.32614/CRAN.package.fsemipar

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for fsemipar version 1.1.1 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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