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spedecon: Smoothness-Penalized Deconvolution for Density Estimation Under Measurement Error
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.
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Package details |
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| Author | David Kent [aut, cre] (<https://orcid.org/0000-0003-2880-1216>) |
| Maintainer | David Kent <dk657@cornell.edu> |
| License | GPL-3 |
| Version | 0.1 |
| URL | https://www.davidjkent.org |
| Package repository | View on CRAN |
| Installation |
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