Other packages > Find by keyword >

admix  

Package Admix for Admixture (aka Contamination) Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("admix", "2.5.2")



Attach the package and use:
library("admix")
Maintained by
Xavier Milhaud
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-06-14
Latest Update: 2025-07-05
Description:
Implements techniques to estimate the unknown quantities related to two-component admixture models, where the two components can belong to any distribution (note that in the case of multinomial mixtures, the two components must belong to the same family). Estimation methods depend on the assumptions made on the unknown component density (see Bordes and Vandekerkhove (2010) ; Patra and Sen (2016) ); Milhaud, Pommeret, Salhi and Vandekerkhove (2022) ). In practice, one can estimate both the mixture weight and the unknown component density in a wide variety of frameworks. On top of that, hypothesis tests can be performed in one and two-sample contexts to test the unknown component density (see Milhaud, Pommeret, Salhi, Vandekerkhove (2023)). Finally, clustering of unknown mixture components is also feasible in a K-samples setting.
How to cite:
Xavier Milhaud (2021). admix: Package Admix for Admixture (aka Contamination) Models. R package version 2.5.2, https://cran.r-project.org/web/packages/admix. Accessed 05 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:17), 0.3.2 (2021-06-14 09:40), 0.4.0 (2022-03-24 13:30), 2.1-0 (2023-03-23 13:02), 2.1-1 (2023-07-06 16:10), 2.1-2 (2023-07-13 00:50), 2.1-3 (2024-04-25 11:50), 2.3.1 (2024-10-24 12:50), 2.3.2 (2024-11-05 15:20), 2.3.3 (2024-11-08 13:00), 2.3.4 (2025-03-07 11:00), 2.4.2 (2025-07-06 00:40), 2.4.3 (2025-08-21 09:50), 2.4 (2025-05-23 16:12), 2.5.1 (2025-09-05 20:10), 2.5.2 (2026-01-08 15:10)
Other packages that cited admix R package
View admix citation profile
Other R packages that admix depends, imports, suggests or enhances
Complete documentation for admix
Functions, R codes and Examples using the admix R package
Some associated functions: BVdk_ML_varCov_estimators . BVdk_contrast . BVdk_contrast_gradient . BVdk_estimParam . BVdk_varCov_estimators . IBM_2samples_test . IBM_empirical_contrast . IBM_estimProp . IBM_estimVarCov_gaussVect . IBM_gap . IBM_greenLight_criterion . IBM_hessian_contrast . IBM_k_samples_test . IBM_tabul_stochasticInteg . IBM_test_H0 . IBM_theoretical_contrast . IBM_theoretical_gap . PatraSen_cv_mixmodel . PatraSen_density_est . PatraSen_dist_calc . PatraSen_est_mix_model . admix-package . admix_clustering . admix_estim . admix_test . allGalaxies . decontamin_cdf_unknownComp . decontamin_density_unknownComp . decontaminated_cdf . decontaminated_density . detect_support_type . estimVarCov_empProcess . gaussianity_test . is_equal_knownComp . kernel_cdf . kernel_density . knownComp_to_uniform . milkyWay . orthoBasis_coef . orthoBasis_test_H0 . plot.decontaminated_density . plot_admix . plot_decontamin_cdf . plot_decontamin_density . plot_mixt_density . poly_orthonormal_basis . print.admix_cluster . print.admix_estim . print.admix_test . rsimmix . rsimmix_mix . silhouette_criterion . sim_gaussianProcess . stmf_small . two_samples_test . 
Some associated R codes: BVdk_ML_varCov_estimators.R . BVdk_contrast.R . BVdk_contrast_gradient.R . BVdk_estimParam.R . BVdk_varCov_estimators.R . IBM_2samples_test.R . IBM_empirical_contrast.R . IBM_estimProp.R . IBM_estimVarCov_gaussVect.R . IBM_gap.R . IBM_greenLight_criterion.R . IBM_hessian_contrast.R . IBM_k_samples_test.R . IBM_tabul_stochasticInteg.R . IBM_test_H0.R . IBM_theoretical_contrast.R . IBM_theoretical_gap.R . PatraSen_cv_mixmodel.R . PatraSen_density_est.R . PatraSen_dist_calc.R . PatraSen_est_mix_model.R . RcppExports.R . admix-package.R . admix_clustering.R . admix_estim.R . admix_test.R . allGalaxies.R . decontamin_cdf_unknownComp.R . decontamin_density_unknownComp.R . decontaminated_cdf.R . decontaminated_density.R . detect_support_type.R . estimVarCov_empProcess.R . gaussianity_test.R . is_equal_knownComp.R . kernel_cdf.R . kernel_density.R . knownComp_to_uniform.R . milkyWay.R . orthoBasis_coef.R . orthoBasis_test_H0.R . plot.decontaminated_density.R . plot_admix.R . plot_decontamin_cdf.R . plot_decontamin_density.R . plot_mixt_density.R . poly_orthonormal_basis.R . print.admix_cluster.R . print.admix_estim.R . print.admix_test.R . rsimmix.R . silhouette_criterion.R . sim_gaussianProcess.R . stmf_small.R . two_samples_test.R . zzz.R .  Full admix package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

dhReg  
Dynamic Harmonic Regression
Building and forecasting time series data with multiple seasonality using Dynamic Harmonic Regressio ...
Download / Learn more Package Citations See dependency  
kernelPSI  
Post-Selection Inference for Nonlinear Variable Selection
Different post-selection inference strategies for kernelselection as described in kernelPSI a Post-S ...
Download / Learn more Package Citations See dependency  
dcov  
A Fast Implementation of Distance Covariance
Efficient methods for computing distance covariance and relevant statistics. See Sz ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
noisyr  
Noise Quantification in High Throughput Sequencing Output
Quantifies and removes technical noise from high-throughput sequencing data. Two approaches are use ...
Download / Learn more Package Citations See dependency  

28,083

R Packages

239,283

Dependencies

74,457

Author Associations

28,084

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA