使用期限*
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。
Mplus is a statistical modeling program that provides researchers with a flexible tool to analyze their data. Mplus offers researchers a wide choice of models, estimators, and algorithms in a program that has an easy-to-use interface and graphical displays of data and analysis results. Mplus allows the analysis of both cross-sectional and longitudinal data, single-level and multilevel data, data that come from different populations with either observed or unobserved heterogeneity, and data that contain missing values. Analyses can be carried out for observed variables that are continuous, censored, binary, ordered categorical (ordinal), unordered categorical (nominal), counts, or combinations of these variable types. In addition, Mplus has extensive capabilities for Monte Carlo simulation studies, where data can be generated and analyzed according to any of the models included in the program.

Three new models have been added for categorical dependent variables: the Three-parameter Logistic Regression Model with a guessing parameter (3PL), the Four-parameter Logistic Regression Model with lower (guessing) and upper asymptote parameters (4PL), and the Partial Credit Model (PCM).

Time series analysis features
N=1 time series analysis (User’s Guide ex 6.23 – 6.28)
Two-level time series analysis (User’s Guide ex 9.30 – 9.37)
Cross-classified time series analysis (User’s Guide ex 9.38 – 9.40)

Mplus provides multiple imputation of missing data using Bayesian analysis (Rubin, 1987; Schafer, 1997). Both the unrestricted H1 model and a restricted H0 model can be used for imputation.
专注,专心是科学软件网的服务宗旨,开发的软件、传递*的技术、提供贴心的服务是我们用实际行动践行的目标,我们会为此目标而不懈努力。
http://turntech8843.b2b168.com