bnpmr: Bayesian monotonic nonparametric regression. Implements the Bayesian nonparametric monotonic regression method described in Bornkamp & Ickstadt (2009), Biometrics, 65, 198-205.
Keywords for this software
References in zbMATH (referenced in 10 articles )
Showing results 1 to 10 of 10.
- Dette, Holger; Titoff, Stefanie; Volgushev, Stanislav; Bretz, Frank: Dose response signal detection under model uncertainty (2015)
- Fronczyk, Kassandra; Kottas, Athanasios: A Bayesian approach to the analysis of quantal bioassay studies using nonparametric mixture models (2014)
- Kim, Hea-Jung; Choi, Taeryon: On Bayesian estimation of regression models subject to uncertainty about functional constraints (2014)
- Lin, Lizhen; Dunson, David B.: Bayesian monotone regression using Gaussian process projection (2014)
- Drovandi, Christopher C.; McGree, James M.; Pettitt, Anthony N.: Sequential Monte Carlo for Bayesian sequentially designed experiments for discrete data (2013)
- Fong, Y.; Wakefield, J.; De Rosa, S.; Frahm, N.: A robust Bayesian random effects model for nonlinear calibration problems (2012)
- Meyer, Mary C.; Hackstadt, Amber J.; Hoeting, Jennifer A.: Bayesian estimation and inference for generalised partial linear models using shape-restricted splines (2011)
- Saarela, Olli; Arjas, Elja: A method for Bayesian monotonic multiple regression (2011)
- Yuan, Ying; Yin, Guosheng: Dose-response curve estimation: a semiparametric mixture approach (2011)
- Bornkamp, Björn; Ickstadt, Katja: Bayesian nonparametric estimation of continuous monotone functions with applications to dose-response analysis (2009)