메뉴 건너뛰기




Volumn 51, Issue 11, 2007, Pages 5247-5252

Fitting finite mixtures of generalized linear regressions in R

Author keywords

Concomitant variable; Finite mixture; Fixed effect; Generalized linear model; R

Indexed keywords

ALGORITHMS; MATHEMATICAL MODELS; PROBABILITY; REGRESSION ANALYSIS;

EID: 34247868033     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.csda.2006.08.014     Document Type: Article
Times cited : (132)

References (12)
  • 1
    • 0033619211 scopus 로고    scopus 로고
    • Meta-analysis by random effect modelling in generalized linear models
    • Aitkin M. Meta-analysis by random effect modelling in generalized linear models. Statist. Med. 18 17-18 (1999) 2343-2351
    • (1999) Statist. Med. , vol.18 , Issue.17-18 , pp. 2343-2351
    • Aitkin, M.1
  • 2
    • 0034228914 scopus 로고    scopus 로고
    • Assessing a mixture model for clustering with the integrated completed likelihood
    • Biernacki C., Celeux G., and Govaert G. Assessing a mixture model for clustering with the integrated completed likelihood. IEEE Trans. Pattern Anal. Mach. Intell. 22 7 (2000) 719-725
    • (2000) IEEE Trans. Pattern Anal. Mach. Intell. , vol.22 , Issue.7 , pp. 719-725
    • Biernacki, C.1    Celeux, G.2    Govaert, G.3
  • 3
    • 34247870413 scopus 로고    scopus 로고
    • Buyske, S., 2006. R Package mmlcr: Mixed-mode latent class regression. Version 1.3.5. URL 〈http://www.stat.rutgers.edu/∼buyske/software.html〉.
  • 4
    • 52649153627 scopus 로고
    • Concomitant-variable latent-class models
    • Dayton C.M., and Macready G.B. Concomitant-variable latent-class models. J. Amer. Statist. Assoc. 83 401 (1988) 173-178
    • (1988) J. Amer. Statist. Assoc. , vol.83 , Issue.401 , pp. 173-178
    • Dayton, C.M.1    Macready, G.B.2
  • 5
    • 80054997868 scopus 로고
    • Generalizing logistic regression by non-parametric mixing
    • Follmann D.A., and Lambert D. Generalizing logistic regression by non-parametric mixing. J. Amer. Statist. Assoc. 84 405 (1989) 295-300
    • (1989) J. Amer. Statist. Assoc. , vol.84 , Issue.405 , pp. 295-300
    • Follmann, D.A.1    Lambert, D.2
  • 6
    • 35148855766 scopus 로고    scopus 로고
    • Lexical scope and statistical computing
    • Gentleman R., and Ihaka R. Lexical scope and statistical computing. J. Comput. Graphical Statist. 9 3 (2000) 491-508
    • (2000) J. Comput. Graphical Statist. , vol.9 , Issue.3 , pp. 491-508
    • Gentleman, R.1    Ihaka, R.2
  • 7
    • 34247889015 scopus 로고    scopus 로고
    • Grün, B., Leisch, F., 2006. Fitting finite mixtures of linear regression models with varying & fixed effect in R. In: Rizzi, A., Vichi, M. (Eds.), Compstat 2006-Proceedings in Computational Statistics. Physica Verlag, Heidelberg, Germany, pp. 853-860.
  • 8
    • 0034340248 scopus 로고    scopus 로고
    • Identifiability of models for clusterwise linear regression
    • Hennig C. Identifiability of models for clusterwise linear regression. J. Classification 17 2 (2000) 273-296
    • (2000) J. Classification , vol.17 , Issue.2 , pp. 273-296
    • Hennig, C.1
  • 9
    • 11244333649 scopus 로고    scopus 로고
    • Leisch, F., 2004. FlexMix: a general framework for finite mixture models and latent class regression in R. J. Statist. Software 11(8). URL 〈http://www.jstatsoft.org/v11/i08/〉.
  • 12
    • 34247896212 scopus 로고    scopus 로고
    • R Development Core Team, 2006. R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL 〈http://www.R-project.org〉.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.