Packages exist that integrate the functionality in R with BRugs and R2OpenBUGS.

While OpenBUGS was developed from the commercial software WinBUGS, the efforts for further development are now concentrated on OpenBUGS. WinBUGS, and the related open source project OpenBUGS, are tools especially for Bayesian statistics. Alternatives to Amos include LISREL, Mplus and SmartPLS (for partial least-squares). A less powerful alternative for time series analysis is the free software JMulTi, which is implemented in JAVA.Ī relatively easy to use program for modeling and estimating structural equation models. It is primarily used in university economics departments, and economic research institutes. High bar of entry due to being a “full” programming languageĮViews is particularly established in econometrics, and focuses on working with time series data.Some development environments for statistics are still in their infancy.Not all statistical methods are available.Future-proof due to continued growth in use in scientific and commercial fields.Professional development environments are available.Visualizations are appealing and easy to create.Extremely good community support from a large and constantly-growing community.Fully integratable (Git, teradata, PySpark, Hadoop, KNIME).Full availability of the latest Deep Learning and Machine Learning methods.

Constant development by a large developer community.A large number of stable packages in the data science sector and beyond.Mature programming language, resulting in unit tests and debugging functionalities, for example.Offers the potential for object-oriented, structured, and functional concepts.Powerful, fully-functional programming language.

Reddit spss program for mac