Generalized Monotonic Regression The R code is used to perform analysis for semiparametric Poisson regression with monotonicity constraints log (X,Z,C)  logC  X T   (Z) The code can be extended to gene - Spline interpolation - Document - PDFSEARCH.IO

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	Generalized Monotonic Regression The R code is used to perform analysis for semiparametric Poisson regression with monotonicity constraints log (X,Z,C)  logC  X T   (Z) The code can be extended to gene Add to Reading List Document Date: 2014-08-06 19:26:55 Open Document File Size: 429,93 KB Share Result on Facebook City New York / / ProgrammingLanguage R / / ProvinceOrState New York / / Technology alpha / monotonic Poisson regression using GR algorithm / Rosen algorithm / / SocialTag Estimation theory M-estimators Interpolation Poisson regression Isotonic regression Maximum likelihood Akaike information criterion B-spline Statistics Regression analysis

Generalized Monotonic Regression The R code is used to perform analysis for semiparametric Poisson regression with monotonicity constraints log (X,Z,C)  logC  X T   (Z) The code can be extended to geneAdd to Reading List