R package citation, R package reverse dependencies, R package scholars, install an r package from GitHub hy is package acceptance pending why is package undeliverable amazon why is package on hold dhl tour packages why in r package r and r package full form why is r free why r is bad which r package to install which r package has which r package which r package version which r package readxl which r package ggplot which r package fread which r package license where is package.json where is package-lock.json where is package.swift where is package explorer in eclipse where is package where is package manager unity where is package installer android where is package manager console in visual studio who r package which r package to install which r package version who is package who is package deal who is package design r and r package full form r and r package meaning what r package has what package r what is package in java what is package what is package-lock.json what is package in python what is package.json what is package installer do r package can't install r packages r can't find package r can't load package can't load xlsx package r can't install psych package r can't install sf package r Write if else in NONMEM pk pd
sglOptim
View on CRAN: Click
here
Download and install sglOptim package within the R console
Install from CRAN:
install.packages("sglOptim")
Install from Github:
library("remotes")
install_github("cran/sglOptim")
Install by package version:
library("remotes")
install_version("sglOptim", "1.3.8")
Attach the package and use:
library("sglOptim")
Maintained by
Niels Richard Hansen
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
First Published: 2013-12-08
Latest Update: 2024-01-12
Description:
Fast generic solver for sparse group lasso optimization
problems. The loss (objective) function must be defined in a
C++ module. The optimization problem is solved using a
coordinate gradient descent algorithm. Convergence of the
algorithm is established (see reference) and the algorithm is
applicable to a broad class of loss functions. Use of parallel
computing for cross validation and subsampling is supported
through the 'foreach' and 'doParallel' packages. Development
version is on GitHub, please report package issues on GitHub.
How to cite:
Niels Richard Hansen (2013). sglOptim: Generic Sparse Group Lasso Solver. R package version 1.3.8, https://cran.r-project.org/web/packages/sglOptim. Accessed 28 Mar. 2025.
Previous versions and publish date:
0.0.80 (2013-12-08 20:33), 0.0.81 (2014-01-24 12:30), 0.0.82 (2014-02-19 13:44), 0.0.90 (2014-02-22 15:00), 0.0.91 (2014-02-23 22:05), 0.0.100 (2014-03-05 21:16), 0.0.105 (2014-03-10 22:20), 1.0.122.0 (2014-03-24 06:44), 1.0.122.1 (2014-11-04 20:11), 1.2.0 (2015-09-19 22:46), 1.2.2 (2016-09-10 19:17), 1.3.0 (2016-09-28 17:10), 1.3.5 (2016-12-29 01:09), 1.3.6 (2017-04-02 19:41), 1.3.7 (2018-10-21 09:30), 1.3.8 (2019-05-08 00:11)
Other packages that cited sglOptim R package
View sglOptim citation profile
Other R packages that sglOptim depends,
imports, suggests or enhances
Functions, R codes and Examples using
the sglOptim R package
Some associated functions: Err . Err.sgl . add_data . add_data.sgldata . best_model . best_model.sgl . coef.sgl . compute_error . create.sgldata . element_class . features . features.sgl . features_stat . features_stat.sgl . get_coef . linear_test_block_diagonal_sgl_fit_R . linear_test_block_diagonal_sgl_lambda_R . linear_test_block_diagonal_sgl_predict_R . linear_test_block_diagonal_sgl_subsampling_R . linear_test_block_diagonal_sgl_test_R . linear_test_block_diagonal_spx_sgl_fit_R . linear_test_block_diagonal_spx_sgl_lambda_R . linear_test_block_diagonal_spx_sgl_predict_R . linear_test_block_diagonal_spx_sgl_subsampling_R . linear_test_block_diagonal_spx_sgl_test_R . linear_test_block_diagonal_spx_spy_sgl_fit_R . linear_test_block_diagonal_spx_spy_sgl_lambda_R . linear_test_block_diagonal_spx_spy_sgl_predict_R . linear_test_block_diagonal_spx_spy_sgl_subsampling_R . linear_test_block_diagonal_spx_spy_sgl_test_R . linear_test_block_diagonal_spy_sgl_fit_R . linear_test_block_diagonal_spy_sgl_lambda_R . linear_test_block_diagonal_spy_sgl_predict_R . linear_test_block_diagonal_spy_sgl_subsampling_R . linear_test_block_diagonal_spy_sgl_test_R . linear_test_diagonal_error_w_sgl_fit_R . linear_test_diagonal_error_w_sgl_lambda_R . linear_test_diagonal_error_w_sgl_test_R . linear_test_diagonal_w_sgl_fit_R . linear_test_diagonal_w_sgl_lambda_R . linear_test_diagonal_w_sgl_predict_R . linear_test_diagonal_w_sgl_subsampling_R . linear_test_diagonal_w_sgl_test_R . linear_test_diagonal_w_spx_sgl_fit_R . linear_test_diagonal_w_spx_sgl_lambda_R . linear_test_diagonal_w_spx_sgl_predict_R . linear_test_diagonal_w_spx_sgl_subsampling_R . linear_test_diagonal_w_spx_sgl_test_R . linear_test_diagonal_w_spx_spy_sgl_fit_R . linear_test_diagonal_w_spx_spy_sgl_lambda_R . linear_test_diagonal_w_spx_spy_sgl_predict_R . linear_test_diagonal_w_spx_spy_sgl_subsampling_R . linear_test_diagonal_w_spx_spy_sgl_test_R . linear_test_diagonal_w_spy_sgl_fit_R . linear_test_diagonal_w_spy_sgl_lambda_R . linear_test_diagonal_w_spy_sgl_predict_R . linear_test_diagonal_w_spy_sgl_subsampling_R . linear_test_diagonal_w_spy_sgl_test_R . linear_test_full_sgl_fit_R . linear_test_full_sgl_lambda_R . linear_test_full_sgl_predict_R . linear_test_full_sgl_subsampling_R . linear_test_full_sgl_test_R . linear_test_full_spx_sgl_fit_R . linear_test_full_spx_sgl_lambda_R . linear_test_full_spx_sgl_predict_R . linear_test_full_spx_sgl_subsampling_R . linear_test_full_spx_sgl_test_R . linear_test_full_spx_spy_sgl_fit_R . linear_test_full_spx_spy_sgl_lambda_R . linear_test_full_spx_spy_sgl_predict_R . linear_test_full_spx_spy_sgl_subsampling_R . linear_test_full_spx_spy_sgl_test_R . linear_test_full_spy_sgl_fit_R . linear_test_full_spy_sgl_lambda_R . linear_test_full_spy_sgl_predict_R . linear_test_full_spy_sgl_subsampling_R . linear_test_full_spy_sgl_test_R . linear_test_identity_sgl_fit_R . linear_test_identity_sgl_lambda_R . linear_test_identity_sgl_predict_R . linear_test_identity_sgl_subsampling_R . linear_test_identity_sgl_test_R . linear_test_identity_spx_sgl_fit_R . linear_test_identity_spx_sgl_lambda_R . linear_test_identity_spx_sgl_predict_R . linear_test_identity_spx_sgl_subsampling_R . linear_test_identity_spx_sgl_test_R . linear_test_identity_spx_spy_sgl_fit_R . linear_test_identity_spx_spy_sgl_lambda_R . linear_test_identity_spx_spy_sgl_predict_R . linear_test_identity_spx_spy_sgl_subsampling_R . linear_test_identity_spx_spy_sgl_test_R . linear_test_identity_spy_sgl_fit_R . linear_test_identity_spy_sgl_lambda_R . linear_test_identity_spy_sgl_predict_R . linear_test_identity_spy_sgl_subsampling_R . linear_test_identity_spy_sgl_test_R . models . models.sgl . nmod . nmod.sgl . parameters . parameters.sgl . parameters_stat . parameters_stat.sgl . prepare.args . prepare.args.sgldata . prepare_data . print_with_metric_prefix . rearrange . rearrange.sgldata . sgl.algorithm.config . sgl.c.config . sgl.standard.config . sglOptim . sgl_cv . sgl_fit . sgl_lambda_sequence . sgl_predict . sgl_print . sgl_subsampling . sgl_test . sparseMatrix_from_C_format . sparseMatrix_to_C_format . subsample . subsample.sgldata . test.data . test_rtools . transpose_response_elements .
Some associated R codes: lambda_sequence.R . only_for_testing.R . prepare_args.R . response_formatter.R . rtools_test.R . sglOptim.R . sgl_config.R . sgl_cv.R . sgl_error.R . sgl_fit.R . sgl_navigate.R . sgl_predict.R . sgl_subsampling.R . sgl_test.R . startup.R . Full sglOptim package functions and examples
Downloads during the last 30 days
Today's Hot Picks in Authors and Packages
gripp
Set of functions designed to solve inverse problems. The direct problem is used to calculate a cost ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Jader Lugon Junior (view profile)
r2resize
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
hts
Provides methods for analysing and forecasting hierarchical and
grouped time series. The available ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Earo Wang (view profile)
FuzzyResampling
The classical (i.e. Efron's, see Efron and Tibshirani (1994, ISBN:978-0412042317) "An Introduction ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Maciej Romaniuk (view profile)
spinifex
Data visualization tours animates linear projection of multivariate data as its basis (ie. orientat ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Nicholas Spyrison (view profile)
rsvd
Low-rank matrix decompositions are fundamental tools and widely used for data
analysis, dimension r ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: N. Benjamin Erichson (view profile)
23,842
R Packages
207,311
Dependencies
64,420
Author Associations
23,781
Publication Badges
