S3 classes for multivariate optimization using the desirability function by Derringer and Suich (1980).

In-line functions for multivariate optimization via
    desirability functions (Derringer and Suich, 1980,
    <doi:10.1080/00224065.1980.11980968>) with easy use within 'dplyr'
    pipelines.

Written to help undergraduate as well as graduate students to get started
    with R for basic econometrics without the need to import specific functions
    and datasets from many different sources. Primarily, the package is meant to 
    accompany the German textbook Auer, L.v., Hoffmann, S., Kranz, T. (2024,
    ISBN: 978-3-662-68263-0) from which the exercises cover all the topics from the textbook
    Auer, L.v. (2023, ISBN: 978-3-658-42699-6).

Calculates the desparsified lasso as originally introduced in van de Geer et al. (2014) <doi:10.1214/14-AOS1221>, and provides inference suitable for high-dimensional time series, based on the long run covariance estimator in Adamek et al. (2020) <doi:10.48550/arXiv.2007.10952>. Also estimates high-dimensional local projections by the desparsified lasso, as described in Adamek et al. (2022) <doi:10.48550/arXiv.2209.03218>.

Provides a framework for the identification and analysis of Differentially Expressed Single Nucleotide Polymorphisms (deSNPs) using high-throughput sequencing data. It enables users to import SNP count data from variant files, perform allele-specific read count extraction, and statistically detect SNPs showing significant differences in allele expression between biological conditions or sample groups. This package contains tools for calculating SNP-index and Delta SNP-index from VCF-derived allele depth data with statistical testing and filtering, including sliding-window analysis of genomic regions.

Functions that solve initial value problems of a system
        of first-order ordinary differential equations ('ODE'), of
        partial differential equations ('PDE'), of differential
        algebraic equations ('DAE'), and of delay differential
        equations.  The functions provide an interface to the FORTRAN
        functions 'lsoda', 'lsodar', 'lsode', 'lsodes' of the 'ODEPACK'
        collection, to the FORTRAN functions 'dvode', 'zvode' and 'daspk'
        and a C-implementation of solvers of the 'Runge-Kutta' family with
        fixed or variable time steps.  The package contains routines
        designed for solving 'ODEs' resulting from 1-D, 2-D and 3-D
        partial differential equations ('PDE') that have been converted
        to 'ODEs' by numerical differencing.