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spedecon  

Smoothness-Penalized Deconvolution for Density Estimation Under Measurement Error
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("spedecon", "0.1")



Attach the package and use:
library("spedecon")
Maintained by
David Kent
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-01-12
Latest Update: 2024-01-12
Description:
Implements the Smoothness-Penalized Deconvolution method for estimating a probability density under measurement error of Kent and Ruppert (2023) <doi:10.1080/01621459.2023.2259028>. The estimator is formed by computing a histogram of the error-contaminated data, and then finding an estimate that minimizes a reconstruction error plus a smoothness-inducing penalty term. The primary function, sped(), takes the data and error distribution, and returns the estimator as a function.
How to cite:
David Kent (2024). spedecon: Smoothness-Penalized Deconvolution for Density Estimation Under Measurement Error. R package version 0.1, https://cran.r-project.org/web/packages/spedecon. Accessed 07 Nov. 2024.
Previous versions and publish date:
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Complete documentation for spedecon
Functions, R codes and Examples using the spedecon R package
Some associated functions: compute_ephemera . gaussian_gtwid . laplace_gtwid . new_spedecon_gtwid . new_spedecon_spline_sped_fit . sped . uniform_gtwid . 
Some associated R codes: innprod.R . sped.R . spedecon-spedecon.R . utils.R .  Full spedecon package functions and examples
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