代码搜索：Multivariate Analysis

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

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index

MSEP MSEP, RMSEP and R2 of PLSR and PCR models NIR Multivariate Dataset of NIR Spectra biplot.mvr Biplots of PLSR and PCR Models. coef.mvr
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r sbgcop.mcmc.r

### Name: sbgcop.mcmc ### Title: Semiparametric Bayesian Gaussian copula estimation ### Aliases: sbgcop.mcmc plot.psgc summary.psgc print.sum.psgc ### Keywords: multivariate models ### ** Exampl
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contents

Entry: ldmvnorm Aliases: ldmvnorm Keywords: distribution multivariate Description: Log Multivariate Normal Density URL: ../../../library/sbgcop/html/ldmvnorm.html Entry: plotci.sA Aliases: plo
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package sbgcop.package

sbgcop-package package:sbgcop R Documentation _S_e_m_i_p_a_r_a_m_e_t_r_i_c _B_a_y_e_s_i_a_n _G_a_u_s_s_i_a_n _c_o_p_u_l_a _e_s_t_i_m_
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rd rwish.rd

\name{rwish} \alias{rwish} \title{ Sample from the Wishart Distribution } \description{ Generate a random sample from the Wishart distribution. } \usage{ rwish(S0, nu) } \arguments{ \item{S0}{ a p
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rd qm.sm.rd

\name{qM.sM} \alias{qM.sM} \title{ Matrix Quantiles } \description{ Computes quantiles along the third dimension of a 3-d array. } \usage{ qM.sM(sM, quantiles = c(0.025, 0.5, 0.975)) } %- maybe als
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m simmvn.m

% % m=simmvn(mean,cov) % % Generates a random vector according to a specified multivariate normal % distribution. % function m=simmvn(mean,cov) n=length(mean); R=chol(cov); m=R'*randn(n,1)+mean;
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description

Package: ks Version: 1.6.1 Date: 2009/02/16 Title: Kernel smoothing Author: Tarn Duong Maintainer: Tarn Duong Depends: R (>= 1.4.0), KernSmooth, mvtnorm
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m minter_xls.m

function y = minter_xls(Y,x,z,ta,s,f,type,d,flax1,flax2); % PURPOSE: Interface via Excel Link for multivariate temporal disaggregation % -------------------------------------------------------------
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m mtd_plot.m

function []=mtd_plot(res,z) % PURPOSE: Graphic output of multivariate temporal disaggregation methods % ------------------------------------------------------------ % SYNTAX: []=mtd_plot(res,z); %
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