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 (Bohning et al., 1992; <doi:10.2307/2532756>) and bivariate data (Schlattmann et al., 2015; <doi:10.1016/j.jclinepi.2014.08.013>).
Version: | 0.78 |
Depends: | R (≥ 2.10), methods, sp, mvtnorm |
Published: | 2023-09-22 |
DOI: | 10.32614/CRAN.package.CAMAN |
Author: | Peter Schlattmann, Johannes Hoehne, Maryna Verba |
Maintainer: | Philipp Doebler <philipp.doebler at googlemail.com> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | yes |
In views: | MetaAnalysis |
CRAN checks: | CAMAN results |
Reference manual: | CAMAN.pdf |
Package source: | CAMAN_0.78.tar.gz |
Windows binaries: | r-devel: CAMAN_0.78.zip, r-release: CAMAN_0.78.zip, r-oldrel: CAMAN_0.78.zip |
macOS binaries: | r-release (arm64): CAMAN_0.78.tgz, r-oldrel (arm64): CAMAN_0.78.tgz, r-release (x86_64): CAMAN_0.78.tgz, r-oldrel (x86_64): CAMAN_0.78.tgz |
Old sources: | CAMAN archive |
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