**Bayesian Constrained Generalised Linear Models** (**bcgam**)

Fits generalised partial linear regression models using a Bayesian approach, where shape and smoothness constraints are imposed on nonparametrically modelled predictors through shape-restricted splines, and no constraints are imposed on optional parametrically modelled covariates. See Meyer et al. (2011) <doi/10.1080/10485252.2011.597852> for more details. IMPORTANT: before installing ‘bcgam’, you need to install ‘Rtools’ (Windows) or ‘Xcode’ (Mac OS X). These are required for the correct installation of ‘nimble’ (<https://…/download> ).

**Coalition Probabilities in Multi-Party Democracies** (**coalitions**)

An implementation of a MCMC method to calculate probabilities for a coalition majority based on survey results, see Bender and Bauer (2018) <doi:10.21105/joss.00606>.

**Functional Data Analysis with Linear Differential Equations** (**Data2LD**)

Package ‘Data2LD’ was developed to support functional data analysis using the functions in package ‘fda’. The functions in this package are designed for the use of differential equations as modelling objects as described in J. Ramsay G. and Hooker (2017,ISBN 978-1-4939-7188-6) Dynamic Data Analysis, New York: Springer. The package includes data sets and script files for analyzing many of the examples in this book. ‘Matlab’ versions of the code and sample analyses are available by ftp from <http://…/>. There you find a set of .zip files containing the functions and sample analyses, as well as two .txt files giving instructions for installation and some additional information.

**R and ArrayFire library via Rcpp.** (**RcppArrayFire**)

**Causal Inference Based on Weighting Estimators** (**causalweight**)

Various estimation methods for causal inference based on inverse probability weighting. Specifically, the package includes methods for estimating average treatment effects as well as direct and indirect effects in causal mediation analysis. The models refer to the studies of Frölich (2007) <doi:10.1016/j.jeconom.2006.06.004>, Huber (2012) <doi:10.3102/1076998611411917>, Huber (2014) <doi:10.1080/07474938.2013.806197>, Huber (2014) <doi:10.1002/jae.2341>, and Frölich and Huber (2017) <doi:10.1111/rssb.12232>.

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