A considerable amount of software grew out of my research. Most of this code is made available as packages for the freely available software R and can be downloaded from CRAN. The packages were first uploaded to CRAN in the years indicated.
 Schuhmacher, D., Rufibach, K., Dümbgen L. (2011). logconcens: Maximum likelihood estimation of a log-concave density based on censored data.
 Rufibach, K., Balabdaoui, F., Jankowski, H., Weyermann, K. (2011). logcondiscr: Estimate a Log-Concave Probability Mass function from Discrete i.i.d. Observations. Paper
 Rufibach, K. (2010). selectMeta: Estimation of weight functions in meta analysis. Paper
 Rufibach, K. (2009). OrdFacReg: Least squares, logistic, and Cox-regression with ordered predictors. Paper
 Balabdaoui, F., Rufibach, K., Santambrogio, F. (2009). OrdMonReg: Compute least squares estimates of one bounded or two ordered antitonic regression curves. Paper
 Rufibach, K. (2008). reporttools: Generate LaTeX tables of descriptive statistics. Paper
 Rufibach, K., Walther, G. (2007). modehunt: Multiscale analysis about a density. Paper
 Rufibach, K., Müller, S. (2006). smoothtail: Smooth Estimation of GPD Shape Parameter. Paper
 Rufibach, K., Dümbgen, L. (2006). logcondens: Estimate a Log-Concave Probability Density from i.i.d. Observations. Paper 1 Paper 2 Paper 3 Paper 4
While working at the Division of Biostatistics at the University of Zurich I maintained another R package, biostatUZH, which is not publicly available. This package collected all functions that were developed at the department at that time.
Contributions to R-packages
The methodology introduced in Rufibach, K. (2012), A smooth ROC curve estimator based on log-concave density estimates is also available in the function smooth() in the R package pROC .