cgam: An R Package for the Constrained Generalized Additive Model
نویسندگان
چکیده
منابع مشابه
Introducing COZIGAM: An R Package for Constrained Zero-Inflated Generalized Additive Model Analysis
Zero-inflation problem is very common in ecological studies as well as other areas. Nonparametric regression with zero-inflated data may be studied via the zero-inflated generalized additive model (ZIGAM), which assumes that the zero-inflated responses come from a probabilistic mixture of zero and a regular component whose distribution belongs to the 1-parameter exponential family. With the fur...
متن کاملSCGLR - An R Package for Supervised Component Generalized Linear Regression
The objective of this paper is to present an R package, SCGLR, implementing a new PLS regression approach in the multivariate generalized linear framework. The method allows the joint modeling of random variables from different exponential family distributions, searching for common PLS-type components. We discuss several of the functions in the package focusing in particular on the two main one...
متن کاملConstrained Generalized Additive Model with Zero-Inflated Data
Zero inflation problem is very common in ecological studies as well as other areas. We propose the COnstrained Zero-Inflated Generalized Additive Model (COZIGAM) for analyzing zero-inflated data. Our approach assumes that the response follows some distribution from the zero-inflated 1-parameter exponential family, with the further assumption that the probability of zero inflation is some monoto...
متن کاملconstrainedKriging: An R-package for customary, constrained and covariance-matching constrained point or block kriging
The article describes the R package constrainedKriging, a tool for spatial prediction problems that involve change of support. The package provides software for spatial interpolation by constrained (CK), covariance-matching constrained (CMCK) and customary universal (UK) kriging. CK and CMCK yield approximately unbiased predictions of nonlinear functionals of target quantities under change of s...
متن کاملThe R Package groc for Generalized Regression on Orthogonal Components
The R package groc for generalized regression on orthogonal components contains functions for the prediction of q responses using a set of p predictors. The primary building block is the grid algorithm used to search for components (projections of the data) which are most dependent on the response. The package offers flexibility in the choice of the dependence measure which can be user-defined....
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Statistical Software
سال: 2019
ISSN: 1548-7660
DOI: 10.18637/jss.v089.i05