CAMAN: Finite Mixture Models and Meta-Analysis Tools - Based on C.A.MAN. Tools for the analysis of finite semiparametric mixtures. These are useful when data is heterogeneous, e.g. in pharmacokinetics or meta-analysis. The NPMLE and VEM algorithms (flexible support size) and EM algorithms (fixed support size) are provided for univariate and bivariate data.
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References in zbMATH (referenced in 2 articles )
Showing results 1 to 2 of 2.
- Lehmann, Thomas; Schlattmann, Peter: Treatment of nonignorable missing data when modeling unobserved heterogeneity with finite mixture models (2017)
- Doebler, Philipp; Holling, Heinz: Meta-analysis of diagnostic accuracy and ROC curves with covariate adjusted semiparametric mixtures (2015)