# R-packages

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.

[11] **Rufibach, K.**, Jordan, P., Abt, M. (2016). *bpp: Computations Around Bayesian Predictive Power.*

Paper 1 | Paper 2

[10] Hubeaux, S.*, **Rufibach, K.** (2014). *SurvRegCensCov: Weibull Regression for a Right-Censored Endpoint with an Arbitrarily Censored Covariate.* * S. Hubeaux was an intern in Roche Oncology Biostatistics Basel working on this project under my supervision.

[9] Schuhmacher, D., **Rufibach, K.**, Dümbgen L. (2011). *logconcens: Maximum likelihood estimation of a log-concave density based on censored data.* Paper 1 | Paper 2

[8] **Rufibach, K.**, Balabdaoui, F., Jankowski, H., Weyermann, K. (2011). *logcondiscr: Estimate a Log-Concave Probability Mass function from Discrete i.i.d. Observations.* Paper

[7] **Rufibach, K.** (2010). *selectMeta: Estimation of weight functions in meta analysis.* Paper

[6] **Rufibach, K.** (2009). *OrdFacReg: Least squares, logistic, and Cox-regression with ordered predictors.* Paper

[5] Balabdaoui, F., **Rufibach, K.**, Santambrogio, F. (2009). *OrdMonReg: Compute least squares estimates of one bounded or two ordered antitonic regression curves.* Paper

[4] **Rufibach, K.** (2008). *reporttools: Generate LaTeX tables of descriptive statistics.* Paper

[3] **Rufibach, K.**, Walther, G. (2007). *modehunt: Multiscale analysis about a density.* Paper

[2] **Rufibach, K.**, Müller, S. (2006). *smoothtail: Smooth Estimation of GPD Shape Parameter.* Paper

[1] **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

At Roche I developed three additional packages that collect functions in context of clinical and diagnostic studies and are used by colleagues within Roche.

# Contributions to packages under development

Held, L., **Rufibach, K.**, with contributions by others (2017). *biostatUZH: Misc Tools of the Department of Biostatistics, EBPI, University of Zurich.*

# 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 .

# Further software

Below you find some R code that has not (yet) made it into a proper R package.

ROC curve estimator based on kernel estimates of the constituent distributions

Confidence intervals in group sequential trials for a binomial parameter

design: ojo3.com