代码搜索:multivariate

找到约 564 项符合「multivariate」的源代码

代码结果 564
www.eeworm.com/read/250980/12372199

m gauss_samples.m

function s = gauss_samples(x,P,n) %function s = gauss_samples(x,P,N) % % INPUTS: % x, P - mean vector and covariance matrix % N - number of samples % % OUTPUT: % s - set of N samples %
www.eeworm.com/read/188133/8569933

html sensory.html

R: Multivariate Dataset of Sensory Data
www.eeworm.com/read/223154/14652367

m contents.m

% Time Series Analysis - A toolbox for the use with Matlab and Octave. % % Copyright (C) 1996-2004 by Alois Schloegl % WWW: http://www.dpmi.tu-graz.ac.at/~schloegl/matlab/tsa
www.eeworm.com/read/188133/8569929

html nir.html

R: Multivariate Dataset of NIR Spectra
www.eeworm.com/read/422591/10627059

rd hlscv.rd

\name{Hlscv, Hlscv.diag, hlscv} \alias{Hlscv} \alias{Hlscv.diag} %\alias{hlscv} \title{Least-squares cross-validation (LSCV) bandwidth matrix selector for multivariate data} \description{ LSCV ban
www.eeworm.com/read/343762/11928568

m contents.m

% Time Series Analysis - A toolbox for the use with Matlab and Octave. % % $Id: contents.m 5090 2008-06-05 08:12:04Z schloegl $ % Copyright (C) 1996-2004,2008 by Alois Schloegl
www.eeworm.com/read/343227/11962859

m gauseval.m

function dens = gauseval(X, mu, Sigma, QUIET) %gauseval Computes a set of multivariate normal density values. % In the case of diagonal covariance matrices, the mex-file c_dgaus % will be used
www.eeworm.com/read/284259/8952266

ldmvnorm

ldmvnorm package:sbgcop R Documentation _L_o_g _M_u_l_t_i_v_a_r_i_a_t_e _N_o_r_m_a_l _D_e_n_s_i_t_y _D_e_s_c_r_i_p_t_i_o_n:
www.eeworm.com/read/284258/8952372

rd ldmvnorm.rd

\name{ldmvnorm} \alias{ldmvnorm} %- Also NEED an '\alias' for EACH other topic documented here. \title{Log Multivariate Normal Density } \description{ Computes the log of the multivariate normal densi
www.eeworm.com/read/184443/9100245

readme

############### Description: MATLAB routines to simulate and visualize some of the often encountered stochastic processes: random walk, Brownian motion, Poisson process and their multivariate an