An implementation of 'Conic Multivariate Adaptive Regression Splines (CMARS)' in R.
    See Weber et al. (2011) CMARS: a new contribution to nonparametric regression with 
    multivariate adaptive regression splines supported by continuous optimization, 
    <DOI:10.1080/17415977.2011.624770>. It constructs models by using the terms
    obtained from the forward step of MARS and then estimates parameters by using 
    'Tikhonov' regularization and conic quadratic optimization. It is possible to 
    construct models for prediction and binary classification. It provides performance 
    measures for the model developed. The package needs the optimisation software 'MOSEK' 
    <https://www.mosek.com/> to construct the models. Please follow the instructions in 
    'Rmosek' for the installation.

Provides functions to perform matching algorithms for causal inference with clustered data, as described in B. Arpino and M. Cannas (2016) <doi:10.1002/sim.6880>. Pure within-cluster and preferential within-cluster matching are implemented. Both algorithms provide causal estimates with cluster-adjusted estimates of standard errors.

Conditional mixture model fitted via EM (Expectation Maximization) algorithm for model-based clustering, including parsimonious procedure, optimal conditional order exploration, and visualization.

Implements the Bayesian calibration model described
    in Pratola and Chkrebtii (2018) <DOI:10.5705/ss.202016.0403> for stochastic 
    and deterministic simulators.  Additive and multiplicative discrepancy models 
    are currently supported. See <http://www.matthewpratola.com/software> for 
    more information and examples.

Writing interfaces to command line software is cumbersome. 
    'cmdfun' provides a framework for building function calls to seamlessly 
    interface with shell commands by allowing lazy evaluation of command line arguments. 
    'cmdfun' also provides methods for handling user-specific paths to tool installs or secrets like API keys. 
    Its focus is to equally serve package builders who wish to wrap command line software, and to help analysts stay inside 
    R when they might usually leave to execute non-R software.