使用期限永久
许可形式单机和网络版
原产地美国
介质下载
适用平台windows，mac
科学软件网专注提供科研软件。截止目前，共代理千余款，软件涵盖各个学科。除了软件，科学软件网还提供课程，包含34款软件，66门课程。热门软件有：spsspro，stata，gams，sas，spss，matlab，mathematica，lingo，hydrus，gms，pscad，mplus，eviews，nvivo，gtap，sequncher，simca等等。
Simplified 3-step estimation for Latent Transition Analysis described in Section 9 of revised Mplus Web Note 21
Entropy for each latent class variable when there are multiple latent class variables such as in Latent Transition Analysis
Mplus Version 7.4, November 2015
Mplus Version 7.4 is now available. Mplus Version 7.4 includes corrections to minor problems that have been found since the release of Version 7.31 in May 2015 as well as the following new features:
Automatic reordering of latent classes for mixture models
Bayes estimation for count, nominal, and binary variables using a logit link for both real data analysis and Monte Carlo simulation studies for single-level, two-level, and mixture models with a single categorical latent variable.
Mplus has several options for the estimation of models with missing data. Mplus provides maximum likelihood estimation under MCAR (missing completely at random), MAR (missing at random), and NMAR (not missing at random) for continuous, censored, binary, ordered categorical (ordinal), unordered categorical (nominal), counts, or combinations of these variable types (Little & Rubin, 2002). MAR means that missingness can be a function of observed covariates and observed outcomes. For censored and categorical outcomes using weighted least squares estimation, missingness is allowed to be a function of the observed covariates but not the observed outcomes. When there are no covariates in the model, this is analogous to pairwise present analysis. Non-ignorable missing data (NMAR) modeling is possible using maximum likelihood estimation where categorical outcomes are indicators of missingness and where missingness can be predicted by continuous and categorical latent variables (Muthén, Jo, & Brown, 2003; Muthén et al., 2010 ).
科学软件网专注提供正版软件，跟上百家软件开发商有紧密合作，价格优惠，的和培训服务。
http://www.kxrjsoft.com.cn
