Performs multiple testing corrections that take specific structure
    of hypotheses into account, as described in Sankaran & Holmes (2014)
    <doi:10.18637/jss.v059.i13>.

Explains the behavior of a time series by decomposing it into its trend, seasonality and residuals. 
             It is built to perform very well in the presence of significant level shifts. It is designed to play 
             well with any breakpoint algorithm and any smoothing algorithm. Currently defaults to 'lowess' for smoothing
             and 'strucchange' for breakpoint identification. The package is useful in areas such as trend analysis, time series 
             decomposition, breakpoint identification and anomaly detection.

Provides an efficient method to recover the missing block of an approximately low-rank matrix. Current literature on matrix completion focuses primarily on independent sampling models under which the individual observed entries are sampled independently. Motivated by applications in genomic data integration, we propose a new framework of structured matrix completion (SMC) to treat structured missingness by design [Cai T, Cai TT, Zhang A (2016) <doi:10.1080/01621459.2015.1021005>]. Specifically, our proposed method aims at efficient matrix recovery when a subset of the rows and columns of an approximately low-rank matrix are observed. The main function in our package, smc.FUN(), is for recovery of the missing block A22 of an approximately low-rank matrix A given the other blocks A11, A12, A21.

An open source platform for validation and process control.
    Tools to analyze data from internal validation of forensic short tandem
    repeat (STR) kits are provided. The tools are developed to provide
    the necessary data to conform with guidelines for internal validation
    issued by the European Network of Forensic Science Institutes (ENFSI)
    DNA Working Group, and the Scientific Working Group on DNA Analysis Methods
    (SWGDAM). A front-end graphical user interface is provided.
    More information about each function can be found in the
    respective help documentation.