代码搜索：Multinomial
找到约 224 项符合「Multinomial」的源代码
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www.eeworm.com/read/273525/4209251
ado _mprobitestimator.ado
*! version 1.0.3 01apr2005
* _mprobitestimator - multinomial probit
program _mprobitestimator, eclass
syntax varlist [if] [fw pw iw], [ ///
case(varname) ///
ALTernatives(varname
www.eeworm.com/read/393436/8287403
m impsampdemo.m
%This is a simple demonstration of the approximate method for GP based
%classification over multiple classes which is presented in
%
% Girolami, M., Rogers, S.,
% Variational Bayesian Multinomial
www.eeworm.com/read/273525/4207812
ado asmprobit.ado
*! version 1.0.4 07apr2005
* asmprobit - multinomial probit model for alternative specific
* and case specific variables
program asmprobit, eclass byable(onecall)
version 9
if _by() {
www.eeworm.com/read/273525/4210511
ado asmprobit.ado
*! version 1.0.7 03jun2005
* asmprobit - multinomial probit model for alternative specific
* and case specific variables
program asmprobit, eclass byable(onecall)
version 9
if _by() {
www.eeworm.com/read/361765/10036983
cc mcmcmnlmh.cc
// MCMCmnlMH.cc samples from the posterior distribution of a multinomial
// logit model using a random walk Metropolis algorithm.
//
// The initial version of this file was generated by the
// auto.Sc
www.eeworm.com/read/393436/8287391
txt read_me.txt
The following files provide a Matlab based demonstration of the
GP classifier for multiple classes as detailed in the paper
Girolami, M., Rogers, S.,
Variational Bayesian Multinomial Probit Regr
www.eeworm.com/read/361765/10036789
r mcmcmnl.r
## MCMCmnl.R samples from the posterior distribution of a multinomial
## logit model using Metropolis-Hastings.
##
## KQ 12/22/2004
## parse formula and return a list that contains the model response
www.eeworm.com/read/162188/10327984
src logit.src
/*
** logit.src - Multinomial Logit Analysis
**
**
** (C) Copyright 1988-1995 Aptech Systems, Inc.
** All Rights Reserved.
**
** This Software Product is PROPRIETARY SOURCE CODE OF APTECH
**
www.eeworm.com/read/408292/11398080
m fit_multinom_logistic.m
function [parms,restparms,fischer,se]=fit_multinom_logistic( parms,restparms,design, freq,total,prec,baselinecategory)
%fits logistic regression model (multinomial)
%frequencies: row vector or m
www.eeworm.com/read/273525/4207067
ado mprobit_p.ado
*! version 1.0.6 01apr2005
/* predict for mprobit */
program define mprobit_p
version 9
if "`e(cmd)'" != "mprobit" {
di as error "{p}multinomial probit estimates from" ///
"