The Mplus Base Program estimates regression, path analysis, exploratory and confirmatory factor analysis (EFA and CFA), structural equation (SEM), growth, and discrete- and continuous-time survival analysis models.
Mplus allows the analysis of both cross-sectional and longitudinal data, single-level and multilevel data and data that come from different populations with either observed or unobserved heterogeneity. 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. Mplus also has special features for missing data, complex survey data, and multilevel data. 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.
R Availability at PRI
Muthen, Linda K. and Bengt O. Muthen. (2005) Mplus: Statistical Analysis with Latent Variables: User's Guide. Los Angeles, CA: Muthen & Muthen.
Useful Links:Mplus Home
UCLA Mplus Pages
Alternatives?The lavaan package in R may be a suitable alternative