代码搜索:Multivariate Analysis

找到约 10,000 项符合「Multivariate Analysis」的源代码

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m mvnormlpr.m

% MVNORMLPR - Multivariate Normal Distribution - Log Density Ratio % Copyright (c) 1998, Harvard University. Full copyright in the file Copyright % % [ lpr ] = mvnormlpr(x1, x2, mu, sigma) % % mu =
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m mvnormlpr.m

% MVNORMLPR - Multivariate Normal Distribution - Log Density Ratio % Copyright (c) 1998, Harvard University. Full copyright in the file Copyright % % [ lpr ] = mvnormlpr(x1, x2, mu, sigma) % % mu =
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description

Package: pls Version: 2.1-0 Date: 2007-10-17 Title: Partial Least Squares Regression (PLSR) and Principal Component Regression (PCR) Author: Ron Wehrens and Bj鴕n-Helge Mevik Maintainer: Bj鴕n-Helge Mev
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description

Package: pls Version: 2.0-1 Date: 2007-04-19 Title: Partial Least Squares Regression (PLSR) and Principal Component Regression (PCR) Author: Ron Wehrens and Bj鴕n-Helge Mevik Maintainer:
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hlp y_mvpca.hlp

{smcl} {p 0 4} {help contents:Top} > {help y_stat:Statistics} > {help y_mv:Multivariate analysis} > {help y_mvrels:Multivariate relationships} {bind:> {bf:Factor & principal component analysis}}
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cpp protsetupdate.cpp

/* Context : Fuzzy Clustering Algorithms Author : Frank Hoeppner, see also AUTHORS file Description : implementation of class module ProtSetUpdate Histo
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m predict.m

function particle= predict(particle, V,G,Q, WB,dt, addrandom) % % add random noise to controls if addrandom == 1 VG= multivariate_gauss([V;G], Q, 1); V= VG(1); G= VG(2); end % predi
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r sbgcop.package.r

### Name: sbgcop-package ### Title: Semiparametric Bayesian Gaussian copula estimation ### Aliases: sbgcop-package sbgcop ### Keywords: multivariate ### ** Examples fit
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index

ldmvnorm Log Multivariate Normal Density plotci.sA Plot Confidence Bands for Association Parameters qM.sM Matrix Quantiles rw
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rd sbgcop.package.rd

\name{sbgcop-package} \alias{sbgcop-package} \alias{sbgcop} \docType{package} \title{ Semiparametric Bayesian Gaussian copula estimation } \description{ This package estimates parameters of a Gaussia