MSSQL Querying using R (mssqlR)
Can be used to query data from data from Microsoft SQL Server (MSSQL, see <http://…/> for more information). Based on the concepts of Entity Framework, the package allows querying data from MSSQL Database.

Amazon Web Services Bundle Package (awspack)
A bundle of all of ‘cloudyr’ project <http://…/> packages for Amazon Web Services (‘AWS’) <https://…/>. It depends upon all of the ‘cloudyr’ project’s ‘AWS’ packages. It is mainly useful for installing the entire suite of packages; more likely than not you will only want to load individual packages one at a time.

Micro-Macro Multilevel Modeling (MicroMacroMultilevel)
Most multilevel methodologies can only model macro-micro multilevel situations in an unbiased way, wherein group-level predictors (e.g., city temperature) are used to predict an individual-level outcome variable (e.g., citizen personality). In contrast, this R package enables researchers to model micro-macro situations, wherein individual-level (micro) predictors (and other group-level predictors) are used to predict a group-level (macro) outcome variable in an unbiased way.

Incremental Calculation of Dynamic Time Warping (IncDTW)
Implements incremental calculation of the DTW ( Dynamic Time Warping) distance of two vectors, which is specifically useful for life data streams. Further the calculation of the global cost matrix is implemented in C++ to be faster. The Sakoe Chiba band is also implemented. The calculation of DTW is less functional then the one of dtw(), however much faster. For details about DTW see the original paper ‘Dynamic programming algorithm optimization for spoken word recognition’ by Sakoe and Chiba (1978) <DOI:10.1109/TASSP.1978.1163055>.

Computerized Adaptive Testing for Survey Research (catSurv)
Provides methods of computerized adaptive testing for survey researchers. Includes functionality for data fit with the classic item response methods including the latent trait model, Birnbaum`s three parameter model, the graded response, and the generalized partial credit model. Additionally, includes several ability parameter estimation and item selection routines. During item selection, all calculations are done in compiled C++ code.

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