Other packages > Find by keyword >

pmledecon  

Deconvolution Density Estimation using Penalized MLE
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("pmledecon", "0.2.1")



Attach the package and use:
library("pmledecon")
Maintained by
Yun Cai
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-08-23
Latest Update: 2022-05-30
Description:
Given a sample with additive measurement error, the package estimates the deconvolution density - that is, the density of the underlying distribution of the sample without measurement error. The method maximises the log-likelihood of the estimated density, plus a quadratic smoothness penalty. The distribution of the measurement error can be either a known family, or can be estimated from a "pure error" sample. For known error distributions, the package supports Normal, Laplace or Beta distributed error. For unknown error distribution, a pure error sample independent from the data is used.
How to cite:
Yun Cai (2021). pmledecon: Deconvolution Density Estimation using Penalized MLE. R package version 0.2.1, https://cran.r-project.org/web/packages/pmledecon. Accessed 05 Mar. 2026.
Previous versions and publish date:
0.1.0 (2021-08-23 12:50), 0.2.0 (2022-05-30 04:10)
Other packages that cited pmledecon R package
View pmledecon citation profile
Other R packages that pmledecon depends, imports, suggests or enhances
Complete documentation for pmledecon
Functions, R codes and Examples using the pmledecon R package
Some associated functions: pmledecon . 
Some associated R codes: pmledecon.R .  Full pmledecon package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

neat  
Efficient Network Enrichment Analysis Test
Includes functions and examples to compute NEAT, the Network Enrichment Analysis Test described in ...
Download / Learn more Package Citations See dependency  
roccv  
ROC for Cross Validation Results
Cross validate large genetic data while specifying clinical variables that should always be in the m ...
Download / Learn more Package Citations See dependency  
pinp  
'pinp' is not 'PNAS'
A 'PNAS'-alike style for 'rmarkdown', derived from the 'Proceedings of the National Academy of Scie ...
Download / Learn more Package Citations See dependency  
diffIRT  
Diffusion IRT Models for Response and Response Time Data
Package to fit diffusion-based IRT models to response and response time data. Models are fit using ...
Download / Learn more Package Citations See dependency  
imagefx  
Extract Features from Images
Synthesize images into characteristic features for time-series analysis or machine learning applicat ...
Download / Learn more Package Citations See dependency  
ClimClass  
Climate Classification According to Several Indices
Classification of climate according to Koeppen - Geiger, of aridity indices, of continentality indi ...
Download / Learn more Package Citations See dependency  

26,264

R Packages

223,360

Dependencies

70,244

Author Associations

26,265

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA