代码搜索：usage
找到约 10,000 项符合「usage」的源代码
代码结果 10,000
www.eeworm.com/read/449504/7502552
m levels.m
function f = levels(nlevels,nreps,length)
% PURPOSE: produces a variable vector of factor levels
%---------------------------------------------------
% USAGE: vfact = levels(nlevels,nreps,length
www.eeworm.com/read/449504/7502560
m seqa.m
function seq=seqa(a,b,c);
% PURPOSE: produce a sequence of values
% -----------------------------------------------------
% USAGE: y = seqa(a,b,c)
% where a = initial value in sequence
%
www.eeworm.com/read/449504/7502567
m sdummy.m
function y = sdummy(nobs,freq)
% PURPOSE: creates a matrix of seasonal dummy variables
%---------------------------------------------------
% USAGE: y = sdummy(nobs,freq);
% or: y = sdumm
www.eeworm.com/read/449504/7502585
m seqm.m
function seq=seqm(a,b,c);
% PURPOSE: produce a sequence of values
% -----------------------------------------------------
% USAGE: y = seqm(a,b,c)
% where a = initial value in sequence
%
www.eeworm.com/read/449504/7502595
m invccorr.m
function [COEF] = invccorr(COEF,MVEC,SVEC)
% PURPOSE: converts matrix to correlation form with
% unit normal scaling.
%---------------------------------------------------
% USAGE: coef = invc
www.eeworm.com/read/449504/7502696
m ivech.m
function transformeddata=ivech(data)
% PURPOSE:
% Transform a vector in to a lower triangular matrix for use by MVGARCH, complements vech
%
% USAGE:
% transformeddata=ivech(data)
%
%
www.eeworm.com/read/449504/7502752
m armaxfilter_likelihood.m
function [LLF, errors, likelihoods] = armaxfilter_likelihood(parameters , regressand , regressors, ar , ma, tau)
% PURPOSE:
% This is the likelihood function for armaxfilter
%
% USAGE:
%
www.eeworm.com/read/449504/7502799
m test_maxlik.m
% PURPOSE: A test of the accuracy of max-like estimates
% using Anselin's data set on Columbus crime
%---------------------------------------------------
% USAGE: test_maxli
www.eeworm.com/read/449504/7502925
m far_gd3.m
% PURPOSE: An example of Metropolis-Hastings vs. sampling by inversion
% using far_g
%---------------------------------------------------
% USAGE: far_gd3
%------------------------------
www.eeworm.com/read/449504/7503094
m ptrend.m
function xmat = ptrend(p,nobs)
% PURPOSE: produce an explanatory variables matrix
% containing a polynomial time-trend
% ----------------------------------------------------
% USAGE: xmat = p