Introducing COZIGAM: An R Package for Unconstrained and 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...
Main Authors: | Hai Liu, Kung-Sik Chan |
---|---|
Format: | Article |
Language: | English |
Published: |
Foundation for Open Access Statistics
2010-10-01
|
Series: | Journal of Statistical Software |
Subjects: | |
Online Access: | http://www.jstatsoft.org/v35/i11/paper |
Similar Items
-
Semiparametric regression analysis of zero-inflated data
by: Liu, Hai
Published: (2009) -
moult : An R Package to Analyze Moult in Birds
by: Birgit Erni, et al.
Published: (2013-01-01) -
Algorithms for Non-Negatively Constrained Maximum Penalized Likelihood Reconstruction in Tomographic Imaging
by: Jun Ma
Published: (2013-03-01) -
Analysis of sparse data in logistic regression in medical research: A newer approach
by: S Devika, et al.
Published: (2016-01-01) -
Population size and exploitation of giant squid (Dosidicus gigas D'Orbigny, 1835) in the Gulf of California, Mexico
by: Enrique Morales-Bojórquez, et al.
Published: (2001-03-01)