R (>= 2.13), tcltk, tkrplot,VIM (>=
4.0.0),survey,gWidgetsRGtk2
This package introduces new tools for the visualization of missing
and/or imputed values, which can be used for exploring the data and the
structure of the missing and/or imputed values. Depending on this structure
of the missing values, the corresponding methods may help to identify the
mechanism generating the missings and allows to explore the data including
missing values. In addition, the quality of imputation can be visually
explored using various univariate, bivariate, multiple and multivariate
plot methods. A graphical user interface allows an easy handling of the
implemented plot methods.

To computed the variability independent of mean (VIM) or variation
independent of mean (VIM). The methodology can be found at
Peter M Rothwell et al. (2010) <doi:10.1016/S1474-4422(10)70067-3>.

Computation of Volatility Impulse Response Function of
Multivariate Time Series
Dr. Ranjit Kumar Paul and Mr. Ankit Tanwar
Computation of volatility impulse response function for multivariate time series model using algorithm by Jin, Lin and Tamvakis (2012) <doi.org/10.1016/j.eneco.2012.03.003>.
stats, rmgarch, mgarchBEKK, gnm, expm, BigVAR, ks, matrixcalc,
matlib

Frequency Matrix Approach for Assessing Very Low Frequency
Variants in Sequence Records
Taryn B. T. Athey and Paul D. McNicholas
Using frequency matrices, very low frequency variants (VLFs) are assessed for amino acid and nucleotide sequences.  The VLFs are then compared to see if they occur in only one member of a species, singleton VLFs, or if they occur in multiple members of a species, shared VLFs.  The amino acid and nucleotide VLFs are then compared to see if they are concordant with one another.  Amino acid VLFs are also assessed to determine if they lead to a change in amino acid residue type, and potential changes to protein structures.

Taryn B. T. Athey [aut, cre], Paul D. McNicholas [aut, cre], Jarrett D. Phillips [ctb]
Taryn B. T. Athey <taryn.athey@gmail.com>
Using frequency matrices, very low frequency variants (VLFs) are assessed for amino acid and nucleotide sequences.  The VLFs are then compared to see if they occur in only one member of a species, singleton VLFs, or if they occur in multiple members of a species, shared VLFs.  The amino acid and nucleotide VLFs are then compared to see if they are concordant with one another.  Amino acid VLFs are also assessed to determine if they lead to a change in amino acid residue type, and potential changes to protein structures. Based on Stoeckle and Kerr (2012) <doi:10.1371/journal.pone.0043992>.