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prioritylasso
View on CRAN: Click
here
Download and install prioritylasso package within the R console
Install from CRAN:
install.packages("prioritylasso")
Install from Github:
library("remotes")
install_github("cran/prioritylasso")
Install by package version:
library("remotes")
install_version("prioritylasso", "0.3.1")
Attach the package and use:
library("prioritylasso")
Maintained by
Roman Hornung
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.prioritylasso . prioritylasso results . prioritylasso.pdf . How prioritylasso handles blockwise missing data . prioritylasso Vignette . prioritylasso_0.3.1.tar.gz . prioritylasso_0.3.1.zip . prioritylasso_0.3.1.zip . prioritylasso_0.3.1.zip . prioritylasso_0.3.1.tgz . prioritylasso_0.3.1.tgz . prioritylasso_0.3.1.tgz . prioritylasso_0.3.1.tgz . prioritylasso archive . https://CRAN.R-project.org/package=prioritylasso .
First Published: 2017-03-16
Latest Update: 2023-04-10
Description:
Fits successive Lasso models for several blocks of (omics) data with different priorities and takes the predicted values as an offset for the next block. Also offers options to deal with block-wise missingness in multi-omics data.
How to cite:
Roman Hornung (2017). prioritylasso: Analyzing Multiple Omics Data with an Offset Approach. R package version 0.3.1, https://cran.r-project.org/web/packages/prioritylasso. Accessed 29 Apr. 2025.
Previous versions and publish date:
Other packages that cited prioritylasso R package
View prioritylasso citation profile
Other R packages that prioritylasso depends,
imports, suggests or enhances
Complete documentation for prioritylasso
Functions, R codes and Examples using
the prioritylasso R package
Some associated functions: calculate_offsets . coef.prioritylasso . compare_boolean . cvm_prioritylasso . missing.control . pl_data . predict.prioritylasso . prioritylasso .
Some associated R codes: calculate_offsets.R . coef.prioritylasso.R . compare_boolean.R . cvm_prioritylasso.R . data.R . makeCVdivision.R . make_imputation_available_cases.R . make_imputation_model.R . missing.control.R . predict.prioritylasso.R . prioritylasso.R . Full prioritylasso package functions and examples
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