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CAMAN  

Finite Mixture Models and Meta-Analysis Tools - Based on C.A.MAN
View on CRAN: Click here


Download and install CAMAN package within the R console
Install from CRAN:
install.packages("CAMAN")

Install from Github:
library("remotes")
install_github("cran/CAMAN")

Install by package version:
library("remotes")
install_version("CAMAN", "0.78")



Attach the package and use:
library("CAMAN")
Maintained by
Philipp Doebler
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-04-19
Latest Update:
Description:
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; ) and bivariate data (Schlattmann et al., 2015; ).
How to cite:
Philipp Doebler (2013). CAMAN: Finite Mixture Models and Meta-Analysis Tools - Based on C.A.MAN. R package version 0.78, https://cran.r-project.org/web/packages/CAMAN. Accessed 15 Jul. 2026.
Previous versions and publish date:
0.66 (2013-04-19 16:10), 0.67 (2013-04-29 10:28), 0.70 (2014-06-30 10:52), 0.71 (2014-08-09 07:15), 0.72 (2014-10-23 13:32), 0.73 (2015-09-01 17:41), 0.74 (2016-09-26 09:34), 0.75 (2022-04-16 09:32), 0.76 (2023-01-30 22:30), 0.77 (2023-04-11 01:50), 0.78 (2023-09-22 17:10), (2026-07-09 07:59)
Other packages that cited CAMAN R package
View CAMAN citation profile
Other R packages that CAMAN depends, imports, suggests or enhances
Complete documentation for CAMAN
Functions, R codes and Examples using the CAMAN R package
Some associated functions: CT . NoP . PCT . anova.CAMANject . aspirin . betaplasma . bivariate.EM . bivariate.VEM . bivariate.mixalg . boot . getFDR . golubMerge . heage . hepab . hist.CAMANject . leukDat . mixalg.EM . mixalg.VEM . mixalg.boot . mixalg . mixcov . plots . thai_cohort . vem_grad . vitamin . 
Some associated R codes: CAMAN.R . CAMAN_plots.R . classes.R . zzz.R .  Full CAMAN package functions and examples
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