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R: Robust Mixture Discriminant Analysis
...Pages robustDA-package Robust Mixture Discriminant Analysis predict.rmda Prediction method for 'rmda' class objects. rmda Robust Mixture Discriminant Analysis robustDA Robust Mixture Discriminant...
/CRAN/refmans/robustDA/html/00Index.html
 cran-help  matching: :mixture, mixture, :discriminant and discriminant


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R: Mixture Discriminant Analysis Model
...Mixture Discriminant Analysis Model Description Performs mixture discriminant analysis. Usage MDAModel( subclasses = 3, sub.df = NULL, tot.df = NULL, dimension = sum(subclasses) - 1, eps = .Machine...
/CRAN/refmans/MachineShop/html/MDAModel.html
 cran-help  matching: :mixture, mixture, :discriminant and discriminant


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R: Initialization for Mixture Discriminant Analysis
...Mixture Discriminant Analysis Description Provide starting weights for the mda function which performs discriminant analysis by gaussian mixtures. Usage mda.start(x, g, subclasses = 3, trace.mda.start...
/CRAN/refmans/mda/html/mda.start.html
 cran-help  matching: :mixture, mixture, :discriminant and discriminant


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R: Sparse mixture discriminant analysis
...mixture discriminant analysis Description Performs sparse linear discriminant analysis for mixture of gaussians models. Usage smda(x, ...) ## Default S3 method: smda(x, y, Z = NULL, Rj = NULL, lambda...
/CRAN/refmans/sparseLDA/html/smda.html
 cran-help  matching: :mixture, mixture, :discriminant and discriminant


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R: Robust Mixture Discriminant Analysis
...Mixture Discriminant Analysis Description Robust mixture discriminant analysis (RMDA), proposed in Bouveyron & Girard, 2009 <doi:10.1016/j.patcog.2009.03.027>, allows to build a robust supervised...
/CRAN/refmans/robustDA/html/robustDA-package.html
 cran-help  matching: :mixture, mixture, :discriminant and discriminant


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R: Classify by Mixture Discriminant Analysis
...by Mixture Discriminant Analysis Description Classify observations in conjunction with mda. Usage ## S3 method for class 'mda' predict(object, newdata, type, prior, dimension, g, ...) Arguments object...
/CRAN/refmans/mda/html/predict.mda.html
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R: Robust Mixture Discriminant Analysis
...Mixture Discriminant Analysis Description Robust mixture discriminant analysis (RMDA), proposed in Bouveyron & Girard, 2009 <doi:10.1016/j.patcog.2009.03.027>, allows to build a robust supervised...
/CRAN/refmans/robustDA/html/rmda.html
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R: Mixture Discriminant Analysis with HD Gaussians
hdmda {HDclassif} R Documentation Mixture Discriminant Analysis with HD Gaussians Description HD-MDA implements mixture discriminant analysis (MDA, Hastie & Tibshirani, 1996) with HD Gaussians instead...
/CRAN/refmans/HDclassif/html/hdmda.html
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R: Mixture Discriminant Analysis
...Mixture Discriminant Analysis Description Mixture discriminant analysis. Usage mda(formula, data, subclasses, sub.df, tot.df, dimension, eps, iter, weights, method, keep.fitted, trace, ...) Arguments...
/CRAN/refmans/mda/html/mda.html
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R: Mixture and Flexible Discriminant Analysis
Help Pages bruto Fit an Additive Spline Model by Adaptive Backfitting coef.fda Produce coefficients for an fda or mda object coef.mda Produce coefficients for an fda or mda object confusion Confusion...
/CRAN/refmans/mda/html/00Index.html
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R: Sparse Discriminant Analysis
...Methods predict.smda Predict method for Sparse Discriminant Methods sda Sparse discriminant analysis sda.default Sparse discriminant analysis smda Sparse mixture discriminant analysis smda.default...
/CRAN/refmans/sparseLDA/html/00Index.html
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R: High Dimensional Supervised Classification and Clustering
...Crabs Morphological Measurements on Leptograpsus Crabs. demo_hddc Demonstration of the clustering process of HDDC. getHDclassif.show Sets/gets the default 'show' argument in HDDC and HDDA HDclassif...
/CRAN/refmans/HDclassif/html/00Index.html
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R: Predict method for Sparse Discriminant Methods
...object of class link{sda} or link{smda} newdata a matrix or data frame of predictors ... arguments passed to link[MASS]{predict.lda} Details The current implementation for mixture discriminant models ...
/CRAN/refmans/sparseLDA/html/predict.sda.html
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R: FLaMingos: Functional Latent datA Models for clusterING...
...flamingos is an open-source toolbox for the simultaneous clustering (or classification) and segmentation of heterogeneous functional data (i.e time-series ore more generally longitudinal data...
/CRAN/refmans/flamingos/html/flamingos-package.html
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R: Interfaces for mda package for data science pipelines.
...science pipelines. Description Interfaces to mda functions that can be used in a pipeline implemented by magrittr. Usage ntbt_fda(data, ...) ntbt_mda(data, ...) Arguments data data frame, tibble, list, ...
/CRAN/refmans/intubate/html/mda.html
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R: Dimension reduction for model-based clustering and...
...from a finite mixture of Gaussian densities. Usage MclustDR(object, lambda = 0.5, normalized = TRUE, Sigma, tol = sqrt(.Machine$double.eps)) Arguments object An object of class 'Mclust' or 'MclustDA...
/CRAN/refmans/mclust/html/MclustDR.html
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R: Axing a mda.
...leveraged to carry out mixture discriminant analysis. Usage ## S3 method for class 'mda' axe_call(x, verbose = FALSE, ...) ## S3 method for class 'mda' axe_env(x, verbose = FALSE, ...) ## S3 method...
/CRAN/refmans/butcher/html/axe-mda.html
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R: Plotting method for MclustDA discriminant analysis
...-based mixture discriminant analysis results, such as scatterplot of training and test data, classification of train and test data, and errors. Usage ## S3 method for class 'MclustDA' plot(x, what = c...
/CRAN/refmans/mclust/html/plot.MclustDA.html
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R: A List of Available Models in train
...fastAdaboost with tuning parameters: Number of Trees (nIter, numeric) Method (method, character) AdaBoost.M1 (method = 'AdaBoost.M1') For classification using packages adabag and plyr with tuning...
/CRAN/refmans/caret/html/models.html
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R: Machine Learning Models and Tools
...G I K L M N O P Q R S T U V W X misc MachineShop-package MachineShop: Machine Learning Models and Tools -- A -- accuracy Performance Metrics AdaBagModel Bagging with Classification Trees AdaBoostModel...
/CRAN/refmans/MachineShop/html/00Index.html
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R: Subset selection for GMMDR directions based on BIC
...structure obtained from a finite mixture of Gaussian densities. Usage MclustDRsubsel(object, G = 1:9, modelNames = mclust.options("emModelNames"), ..., bic.stop = 0, bic.cutoff = 0, mindir = 1...
/CRAN/refmans/mclust/html/MclustDRsubsel.html
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