Fw:Re:Annoucement: New Versions of simsem (0.5-0) and semTools (0.3-0)

[YA]

 

At 2013-02-12 02:14:33,"Alex Schoemann" <alexander...@gmail.com> wrote:

Announcing new versions of both the simsem and semTools packages available on CRAN.  These updates add major functionality to both packages.

simsem provides comprehensive simulation functionality for structural equation modeling. simsem allows data generation based on a user specified model, analyses of generated data, and storage and processing of simulation results. One major update in this version of simsem that may be of particular interest to lavaan users is the ability to specify data generation and analysis models using lavaan syntax. 

For further details on simsem see: simsem.org

semTools is a package comprised of useful functions for structural equation modeling in R. semTools is designed to be a user supported package and all users of SEM and R are encouraged to submit functions of ideas for additional functions. The newest version of semTools includes several new functions. One of particular interest is lisrel2lavaan this function will take LISREL syntax files, translate them into lavaan parameter tables and fit models using lavaan.

For more information on semTools see: https://github.com/simsem/semTools/wiki

Thanks,

-Alex

simsem, Version 0.5-0

This version is available on CRAN. Here is a list of major updates:

1. The generate and model arguments for the sim function can take three formats: simsem template (as previous versions), lavaan script (or lavaan parameter table or a list of arguments for the simulateData, lavaan, cfa, sem, or growth functions), or an OpenMx object. See more details and the example scripts in the vignette.
2. The generate function can take simsem template, lavaan script, and an OpenMx object. If OpenMx object has definition variables, users need to provide the data of definition variables (in the covData argument) and the model parameters are specified based on the definition variables.
3. The analyze function can take simsem template and OpenMx object
4. In the simsem template format, users can add exogenous covariates for data generation, which can take any distributions (or even dummy variables). The KA and GA arguments are added to the model function to account for the effects of exogenous covariates on indicators or factors respectively. Users need to create their own covariate data and add to the covData argument in the generate or sim functions.
5. Nonnormal data can be created from Vale and Maurelli's (1983) method. Users can simply specify the skewness and kurtosis arguments in the bindDist function.
6. All arguments that take characters will be case-insensitive.
7. The combineSim function is added to combine multiple (similar) simulation results into a single simulation result
8. The sim function has an completeRep argument. If the argument is specified as TRUE, the simulation will be run until the number of convergent replications is equal to or greater than the specified number of replications.
9. Some minor bugs were fixed.

semTools, Version 0.3-0

This version is available in CRAN. The lisrel2lavaan function is added to translate LISREL syntax to lavaan parameter table with an option to analyze data directly. Many useful functions are added as supplementary functions for OpenMx: standardizeMx to standardize parameters in a RAM model, fitMeasuresMx to find fit measures for an OpenMx output, nullMxto analyze null model, and saturateMx to analyze saturate model. The auxiliary function is fixed to take care all possible models with continuous indicators, is designed to handle the script directly (instead of taking the lavaan output), and is designed to forcefully change the missing option as "fiml". The tukeySEM function is added to Ccalculate Tukey's WSD post-hoc test for multiple group means comparison. The runMI function is fixed to appropriately handle the models with categorical variables and with scaled chi-square values. The runMI function is also fixed to provide the standard errors of standardized solutions for the lavaan 0.5-12 or higher. The fmi function is added to calculate fraction missings of means and variances of data with missing values.

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