Provides functions for fitting the entire
        solution path of the Elastic-Net and also provides functions
        for doing sparse PCA.

Implements forecasting methods for individual electricity load
    curves, including Kernel Wavelet Functional (KWF), clustered KWF,
    Generalized Additive Models (GAM), Multivariate Adaptive Regression
    Splines (MARS), and Long Short-Term Memory (LSTM) models. Provides
    normalized dataset adapters for iFlex, StoreNet, Smart-Grid Smart-City,
    Low Carbon London, and REFIT; download and read support for IDEAL and GX;
    explicit Python backend selection for TensorFlow-based LSTM fits; helpers
    for daily segmentation and rolling-origin benchmarking; and compact
    shipped example panels and benchmark-result datasets.

Digital simulation of electrochemical processes.
             Each function allows for implicit and explicit solution of the differential equation using methods like Euler, Backwards implicit, Runge Kutta 4, Crank Nicholson and Backward differentiation formula as well as different number of points for derivative approximation. Several electrochemical processes can be simulated such as: Chronoamperometry, Potential Step, Linear Sweep, Cyclic Voltammetry, Cyclic Voltammetry with electrochemical reaction followed by chemical reaction (EC mechanism) and CV with two following electrochemical reaction (EE mechanism). In update 1.1.0 has been added a general purpose CV function that allow to simulate up to 4 EE mechanism combined with chemical reaction for each species.Update 1.2.0 improved the accuracy of the measurements and allow personalized data resolution for simulation.
             Bibliography regarding this methods can be found in the following texts.
             Dieter Britz, Jorg Strutwolf (2016) <ISBN:978-3-319-30292-8>.
             Allen J. Bard, Larry R. Faulkner (2000) <ISBN:978-0-471-04372-0>.

Functions to compute state-specific and marginal life expectancies. The computation is based on a fitted continuous-time multi-state model that includes an absorbing death state; see Van den Hout (2017, ISBN:9781466568402). The fitted multi-state model model should be estimated using the 'msm' package using age as the time-scale.