logspline

R package logspline: Logspline density estimation routines. Routines for the logspline density estimation. oldlogspline uses the same algorithm as the logspline 1.0.x package - the Kooperberg and Stone (1992) algorithm (with an improved interface). The recommended routine logspline uses an algorithm from Stone et al (1997).

Keywords for this software

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References in zbMATH (referenced in 6 articles )

Showing results 1 to 6 of 6.
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  1. Marsman, M.; Huth, K.; Waldorp, L. J.; Ntzoufras, I.: Objective Bayesian edge screening and structure selection for Ising networks (2022)
  2. Bak, Kwan-Young; Koo, Ja-Yong: Adaptive log-density estimation (2020)
  3. Torsten Hothorn: Most Likely Transformations: The mlt Package (2020) not zbMATH
  4. Yang Hu; Carl Scarrott: evmix: An R package for Extreme Value Mixture Modeling, Threshold Estimation and Boundary Corrected Kernel Density Estimation (2018) not zbMATH
  5. Anderson-Bergman, Clifford; Yu, Yaming: Computing the log concave NPMLE for interval censored data (2016)
  6. Schellhase, Christian; Kauermann, Göran: Density estimation and comparison with a penalized mixture approach (2012)