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LavaCvxr  

Lava Estimation for the Sum of Sparse and Dense Signals(3 Methods)
View on CRAN: Click here


Download and install LavaCvxr package within the R console
Install from CRAN:
install.packages("LavaCvxr")

Install from Github:
library("remotes")
install_github("cran/LavaCvxr")

Install by package version:
library("remotes")
install_version("LavaCvxr", "1.0.2")



Attach the package and use:
library("LavaCvxr")
Maintained by
Yang Liu
[Scholar Profile | Author Map]
First Published: 2021-06-04
Latest Update: 2021-06-04
Description:
The lava estimation is used to recover signals that is the sum of a sparse signal and a dense signal. The post-lava method corrects the shrinkage bias of lava. For more information on the lava estimation, see Chernozhukov, Hansen, and Liao (2017) .
How to cite:
Yang Liu (2021). LavaCvxr: Lava Estimation for the Sum of Sparse and Dense Signals(3 Methods). R package version 1.0.2, https://cran.r-project.org/web/packages/LavaCvxr. Accessed 10 Apr. 2025.
Previous versions and publish date:
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Complete documentation for LavaCvxr
Functions, R codes and Examples using the LavaCvxr R package
Some associated functions: LavaCvxr . 
Some associated R codes: LavaCvxr.R .  Full LavaCvxr package functions and examples
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