An R Package for Spatial Smoothing (scpm)
Group of functions for spatial smoothing using cubic splines and variogram maximum likelihood estimation. Also allow the inclusion of linear parametric terms and change-points for segmented smoothing splines models.

64-Bit Extension of the SPArse Matrix R Package ‘spam’ (spam64)
Provides the Fortran code of the R package ‘spam’ with 64-bit integers. Loading this package together with the R package ‘spam’ enables the sparse matrix class ‘spam’ to handle huge sparse matrices with more than 2^31-1 non-zero elements.

Extract Text from Rich Text Format (RTF) Documents (unrtf)
Wraps the ‘unrtf’ utility to extract text from RTF files. Supports document conversion to HTML, LaTeX or plain text. Output in HTML is recommended because ‘unrtf’ has limited support for converting between character encodings.

Robust Methods for Multiway Data Analysis, Applicable also for Compositional Data (rrcov3way)
Provides methods for multiway data analysis by means of Parafac and Tucker 3 models. Robust versions (Engelen and Hubert (2011) <doi:10.1016/j.aca.2011.04.043>) and versions for compositional data are also provided (Gallo (2015) <doi:10.1080/03610926.2013.798664>, Di Palma et al. (in press)).

Diverse Cluster Ensemble in R (diceR)
Performs cluster analysis using an ensemble clustering framework. Results from a diverse set of algorithms are pooled together using methods such as majority voting, K-Modes, LinkCluE, and CSPA. There are options to compare cluster assignments across algorithms using internal and external indices, visualizations such as heatmaps, and significance testing for the existence of clusters.