`spam`: an R package, a collection of functions based in R/Fortran for sparse matrix algebra, tailored for MCMC calculations within GMRF or GRF with compactly supported covariance functions. Emphasis is given on a comprehensive, simple, tutorial structure of the code.

A stable version of the package is posted on CRAN.

The current devel version is posted here (spam_devel.tar.gz).

dotCall64: Enhanced Foreign Function Interface Supporting Long Vectors.

An alternative version of .C() and .Fortran() supporting long vectors and 64-bit integer type arguments. The provided interface .C64() features mechanisms the avoid unnecessary copies of read-only or write-only arguments. This makes it a convenient and fast interface to C/C++ and Fortran code.

A stable version of the package is posted on CRAN, a development version is posted here.

spam64: 64-Bit Extension of the SPArse Matrix R Package 'spam' 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.

A stable version of the package is posted on CRAN, a development version is posted here.

gapfill: Fill Missing Values in Satellite Data A R package Tools to fill missing values in satellite data and to develop new gap-fill algorithms. The methods are tailored to data (images) observed at equally-spaced points in time. The package is illustrated with MODIS NDVI data.abn:

A stable version of the package is posted on CRAN.

eggCounts: An R package to assess anthelmintic efficacy using Bayesian hierarchical models for faecal egg count data. We have implemented a new Bayesian inference approach through Stan MCMC sampling scheme. Notice that older version did have some issues with the unpaired setting.

A stable version of the package is posted on CRAN. We recommend to update the package to version 1.2.

Web interface to **eggCounts** (shiny web interface in a new Tab)

abn: An R package to providing routines to help determine optimal Bayesian network models for a given data set, where these models are used to identify statistical dependencies in messy, complex data.

A stable version of the package is posted on CRAN.

More information can be found at http://www.r-bayesian-networks.org.

mrbsizeR: An R package for the multiresolution analysis of spatial fields and images to capture scale-dependent features. mrbsizeR is based on scale space smoothing and uses differences of smooths at neighbouring scales for finding features on different scales. To infer which of the captured features are credible, Bayesian analysis is used. The method has first been proposed by Holmstrom, Pasanen, Furrer, Sain (2011) <doi:10.1016/j.csda.2011.04.011>.

A stable version of the package is posted on CRAN

gsbDesign: An R package to evaluate group sequential operating characteristics for clinical, Bayesian two-arm trials with known Sigma and normal endpoints.

A stable version of the package is posted on CRAN.

`pfuef`: a PDFLaTeX stylefile to create presentations which does not require any post processing and which handles different types of backgrounds but produces easily different types of printable versions. Available at www.math.uzh.ch/furrer/research/software.shtml.