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 contemporaneous Markov chain Monte Carlo (CMCMC)
    and interchain adaptive Markov chain Monte Carlo (INCA) samplers of
    Craiu, Rosenthal and Yang (2009) <doi:10.1198/jasa.2009.tm08393> for
    targets known up to a normalising
    constant. The samplers run multiple Metropolis chains in parallel and
    update proposal covariance estimates using
    contemporaneous particle groups. Built-in target kernels include
    multivariate normal, logistic regression, Poisson, Gaussian, Gamma, and
    hierarchical models, with support for user-provided target kernels. The
    formula interface glm_cmcmc() fits supported generalized linear models
    using the built-in kernels. 'CUDA' is used when available, and an
    'OpenMP'-enabled CPU backend is available on systems without a 'CUDA'
    compiler.