**Evaluate Function Calls on HPC Schedulers (LSF, SGE, SLURM)** (**clustermq**)

Provides the Q() function to send arbitrary function calls to workers on HPC schedulers without relying on network-mounted storage. Allows using remote schedulers via SSH.

**Lightweight R Interface to the Alpha Vantage API** (**alphavantager**)

Alpha Vantage has free historical financial information. All you need to do is get a free API key at <https://www.alphavantage.co>. Then you can use the R interface to retrieve free equity information. Refer to the Alpha Vantage website for more information.

**Automatic Variable Reduction Using Principal Component Analysis** (**auto.pca**)

PCA done by eigenvalue decomposition of a data correlation matrix, here it automatically determines the number of factors by eigenvalue greater than 1 and it gives the uncorrelated variables based on the rotated component scores, Such that in each principal component variable which has the high variance are selected. It will be useful for non-statisticians in selection of variables. For more information, see the <http://…/ijcem_032013_06.pdf> web page.

**Temporal Network Centrality (TNC) Measures** (**TNC**)

Node centrality measures for temporal networks. Available measures are temporal degree centrality, temporal closeness centrality and temporal betweenness centrality defined by Kim and Anderson (2012) <doi:10.1103/PhysRevE.85.026107>. Applying the REN algorithm by Hanke and Foraita (2017) <doi:10.1186/s12859-017-1677-x> when calculating the centrality measures keeps the computational running time linear in the number of graph snapshots. Further, all methods can run in parallel up to the number of nodes in the network.

**Top Frequency-Based Parallel Coordinates** (**cdparcoord**)

Parallel coordinate plotting with resolutions for large data sets and missing values.

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