Last data update: 2014.03.03

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 Results 1 - 6 of 6 found.
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MRSP.list-class (Package: MRSP) : Class code{"MRSP.list"

An object containing the output of MRSP-calls with more than one tuning parameter value, i.e. model output related to a whole “coefficient path”. With nrlambda denoting the number of different lambda values for which to fit a penalized multinomial response model, MRSP.list-objects are lists of length nrlambda. Each entry of this list is an object of class MRSP and contains the model output for one concrete lambda value. If an MRSP.list-object was created by function MRSP, it additionally has attributes “topcall”, “call” and “dat”. Those attributes store, respectively, the call to MRSP, the call to MRSP.fit which was prepared by MRSP and the data object to be supplied to MRSP.fit. Note that dat contains the standardized covariates if standardize = TRUE.
● Data Source: CranContrib
● Keywords: classes
● Alias: MRSP.list-class, cv,MRSP.list-method, extract,MRSP.list-method, getCall,MRSP.list-method, plot,MRSP.list-method, refit,MRSP.list,missing-method, select,MRSP.list-method, show,MRSP.list-method, update,MRSP.list-method
● 0 images

MRSP-class (Package: MRSP) : Class code{"MRSP"

An object containing the output of fitting a multinomial response model with structured penalties for one concrete value of the tuning parameter (or one concrete combination of all used tuning parameters).
● Data Source: CranContrib
● Keywords: classes
● Alias: AIC,MRSP-method, BIC,MRSP-method, MRSP-class, bootstrap,MRSP-method
● 0 images

MRSP-internal (Package: MRSP) : Internal MRSP Functionality

Internal methods, functions and classes for package MRSP
● Data Source: CranContrib
● Keywords: internal
● Alias: Brier, Brier,matrix-method, CUBbinomiallogit, FPR.FNR, FPR.FNR,MRSP.sim-method, FPR.FNR.MRSP.workhorse, MRSP.bootstrap-class, MRSP.coef-class, MRSP.control, MRSP.control-class, MRSP.cv-class, MRSP.model, MRSP.model-class, MRSP.se-class, MRSP.sim-class, MRSPwelcomemessage, MSE, MSE,MRSP.coef-method, MSE,MRSP.sim-method, OLSreg, Psplinetreshnonex, Psplinetreshrefx, Psplinetreshsymx, SPG, SPG,MRSP.coef-method, SPG,list-method, SPG.MRSP, SPG.MRSP.cmpd, SPGsmoothpen, SPGsmoothpen,MRSP.coef-method, SPGsmoothpen,list-method, SPGsmoothpen.MRSP, SPGsmoothpen.MRSP.cmpd, bootstrap, colPsplinetreshnonex, colPsplinetreshrefx, colPsplinetreshsymx, constrfun, correctfun, createResponse, createResponse,MRSP.coef-method, cv, evalh, extract, fista, fista.control, fista.control-class, fistaProximal, fistaProximal,MRSP.coef-method, fistaProximal.MRSP, fistaProximal.MRSP.cmpd, getlambdamax, getmlfit, getpenweights, l2norm, l2norm.x, l2norminv, l2norminv.x, l2normraw, l2project, lassoC, lextract, lmaxproject, log1pexp, log_row_sums, lossapprox, lossapprox,ANY,ANY,MRSP.coef-method, lossapprox,ANY,ANY,list-method, maxRow, modelmatrix.MRSP, multinom.simcoef, multinom.simdata, multinomlogit, n.knots, penalty, penalty,MRSP.coef-method, penalty.MRSP, penalty.MRSP.cmpd, proxfunGbridge, proximterm, proximterm,MRSP.coef-method, proximterm,list-method, pval, refit, rowCumprod, rowCumsum, rowFLtreshnonex, rowL2norm, rowL2norminv, rowL2normraw, se, select, sequentiallogit, show,MRSP.coef-method, simulation, simulation,MRSP.coef-method, spFGLtreshnonex, spFGLtreshsymx, spGFLtreshnonex, spectralnorm, sptreshcs, sptreshnonex, sptreshrefx, sptreshsymx, summary.MRSP, symfun, treshcs, treshg, treshlcs, treshlnonex, treshlrefx, treshlsymx, treshmean, treshnonex, treshrefx, treshsymx, updateEta, updateEta,ANY,MRSP.coef-method, updatePenweights, updatePenweights,ANY,MRSP.coef-method, useSPG, useSPG,MRSP.coef-method, useSPG,list-method, v.allequal, which.max.cv, which.max.cv,numeric-method, which.min.cv, which.min.cv,numeric-method, yseqlog.constructor
● 0 images

MRSP.fit (Package: MRSP) :

This function performs the actual fitting of multinomial response models with structured penalties. Function MRSP is actually just a user-friendly wrapper that prepares calls to this function. MRSP.fit is designed mostly for internal use and therefore not user-friendly, so that it is highly recommended to use MRSP instead of calling MRSP.fit directly.
● Data Source: CranContrib
● Keywords: CATS Lasso
● Alias: MRSP.fit, MRSP.fit,ANY,ANY,ANY,ANY,ANY,ANY,ANY,ANY,list-method, MRSP.fit,ANY,ANY,ANY,ANY,ANY,ANY,ANY,ANY,missing-method, MRSP.fit,ANY,ANY,ANY,ANY,ANY,ANY,ANY,ANY,numeric-method
● 0 images

MRSP (Package: MRSP) : Multinomial Response Models with Structured Penalties

Fit models with multinomial response (including ordinal regression) with structured penalties.
● Data Source: CranContrib
● Keywords: CATS Lasso, Group Lasso, Multinomial Logit Model, Penalization, Regularization
● Alias: MRSP, MRSP,ANY-method
● 1 images

coef-methods (Package: MRSP) : Methods for Function code{coef

Extract the regression coefficients from an object of class MRSP.
● Data Source: CranContrib
● Keywords: methods
● Alias: coef,MRSP-method
● 0 images

Created & Maintained by Osamu Ogasawara (osamu.ogasawara@gmail.com) and IMSBIO