代码搜索：Multinomial
找到约 224 项符合「Multinomial」的源代码
代码结果 224
www.eeworm.com/read/273525/4207721
ado asmprobit_p.ado
*! version 1.0.2 01apr2005
/* predict for asmprobit */
program define asmprobit_p, sortpreserve
version 9
if "`e(cmd)'" != "asmprobit" {
di as error "{p}multinomial probit estimate
www.eeworm.com/read/273525/4210464
ado mprobit_p.ado
*! version 1.0.7 07jun2005
/* predict for mprobit */
program define mprobit_p
version 9
if "`e(cmd)'" != "mprobit" {
di as error "{p}multinomial probit estimates from" ///
"
www.eeworm.com/read/273525/4210503
ado asmprobit_p.ado
*! version 1.0.4 03jun2005
/* predict for asmprobit */
program define asmprobit_p, sortpreserve
version 9
if "`e(cmd)'" != "asmprobit" {
di as error "{p}multinomial probit estimate
www.eeworm.com/read/382446/2637029
java multivariateconstant.java
package com.aliasi.stats;
import java.util.Arrays;
import java.util.HashMap;
/**
* A MultivariateConstant provides a multinomial
* distribution with constant probabilities and labels.
www.eeworm.com/read/273525/4207317
ado mprobit.ado
*! version 1.0.4 01apr2005
* mprobit - multinomial probit model for case specific variables
program mprobit, eclass byable(onecall) prop(ml_score)
version 9
if _by() {
local BY `"by `_b
www.eeworm.com/read/273525/4210477
ado mprobit.ado
*! version 1.0.6 03jun2005
* mprobit - multinomial probit model for case specific variables
program mprobit, eclass byable(onecall) prop(ml_score)
version 9
if _by() {
local BY `"by `_b
www.eeworm.com/read/449504/7502184
m multilogit_lik.m
function [P,lnL] = multilogit_lik(y,x,beta,d);
% PURPOSE: Computes value of log likelihood function for multinomial logit regression
% written by:
% Simon D. Woodcock
% CISER / Economics
% Corn
www.eeworm.com/read/440842/7680313
m multilogit_lik.m
function [P,lnL] = multilogit_lik(y,x,beta,d);
% PURPOSE: Computes value of log likelihood function for multinomial logit regression
% written by:
% Simon D. Woodcock
% CISER / Economics
% Corn
www.eeworm.com/read/492929/6414228
m multilogit_lik.m
function [P,lnL] = multilogit_lik(y,x,beta,d);
% PURPOSE: Computes value of log likelihood function for multinomial logit regression
% written by:
% Simon D. Woodcock
% CISER / Economics
% Corn
www.eeworm.com/read/408292/11398106
m compute_suff_stats_ind.m
function freq=compute_suff_stats_ind(post,varargin)
%compute suff stats for multinomial logist reg (freq of successes and total
%counts)
%separate for each individual (compute_suff_stats: summed