Fits 'MIDAS' denoising autoencoder models for multiple
    imputation of missing data, generates multiply-imputed datasets,
    computes imputation means, and runs Rubin's rules regression analysis.
    Wraps the 'MIDAS2' 'Python' engine via a local 'FastAPI' server over
    'HTTP', so no 'reticulate' dependency is needed at runtime. Methods are
    described in Lall and Robinson (2022) <doi:10.1017/pan.2020.49> and
    Lall and Robinson (2023) <doi:10.18637/jss.v107.i09>.

Facilitates the use of machine learning algorithms in classification and regression (including time series forecasting) tasks by presenting a short and coherent set of functions. Versions: 1.5.0 improved mparheuristic function (new hyperparameter heuristics); 1.4.9 / 1.4.8 improved help, several warning and error code fixes (more stable version, all examples run correctly); 1.4.7 - improved Importance function and examples, minor error fixes; 1.4.6 / 1.4.5 / 1.4.4 new automated machine learning (AutoML) and ensembles, via improved fit(), mining() and mparheuristic() functions, and new categorical preprocessing, via improved delevels() function; 1.4.3 new metrics (e.g., macro precision, explained variance), new "lssvm" model and improved mparheuristic() function; 1.4.2 new "NMAE" metric, "xgboost" and "cv.glmnet" models (16 classification and 18 regression models); 1.4.1 new tutorial and more robust version; 1.4 - new classification and regression models, with a total of 14 classification and 15 regression methods, including: Decision Trees, Neural Networks, Support Vector Machines, Random Forests, Bagging and Boosting; 1.3 and 1.3.1 - new classification and regression metrics; 1.2 - new input importance methods via improved Importance() function; 1.0 - first version.

Perform derivative-free optimization algorithms in R using C++.
    A wrapper interface is provided to call C function of the 'bobyqa' implementation
    (See <https://github.com/emmt/Algorithms/tree/master/bobyqa>).

Provides header files of 'mio', a cross-platform C++11 header-only 
    library for memory mapped file IO <https://github.com/mandreyel/mio>.