Maximum likelihood estimation, random values generation, density computation and other functions for the exponential-Poisson generalised exponential-Poisson and Poisson-exponential distributions. References include: Rodrigues G. C., Louzada F. and Ramos P. L. (2018). "Poisson-exponential distribution: different methods of estimation". Journal of Applied Statistics, 45(1): 128--144. <doi:10.1080/02664763.2016.1268571>. Louzada F., Ramos, P. L. and Ferreira, H. P. (2020). "Exponential-Poisson distribution: estimation and applications to rainfall and aircraft data with zero occurrence". Communications in Statistics--Simulation and Computation, 49(4): 1024--1043. <doi:10.1080/03610918.2018.1491988>. Barreto-Souza W. and Cribari-Neto F. (2009). "A generalization of the exponential-Poisson distribution". Statistics and Probability Letters, 79(24): 2493--2500. <doi:10.1016/j.spl.2009.09.003>.

Implements a new multiple imputation method that draws
    imputations from a latent joint multivariate normal model which
    underpins generally structured data. This model is constructed using a
    sequence of flexible conditional linear models that enables the
    resulting procedure to be efficiently implemented on high dimensional
    datasets in practice. See Robbins (2021) <arXiv:2008.02243>.

Provides tools to download comprehensive datasets of local, 
    state, and federal election results in Germany from 1990 to 2025. The package 
    facilitates access to data on turnout, vote shares for major parties, and 
    demographic information across different levels of government (municipal, state, 
    and federal). It offers access to geographically harmonized datasets 
    that account for changes in municipal boundaries over time and incorporate 
    mail-in voting districts. Users can easily retrieve, clean, and standardize 
    German electoral data, making it ready for analysis. Data is sourced from 
    <https://github.com/awiedem/german_election_data>.

Generates a file, containing the main scientific references, prepared to be automatically inserted into an academic paper. 
    The articles present in the list are chosen from the main references generated, by function principal_lister(), of the package 'bibliorefer'. 
    The generated file contains the list of metadata of the principal references in 'BibTex' format. 
    Massimo Aria, Corrado Cuccurullo. (2017) <doi:10.1016/j.joi.2017.08.007>.
    Caibo Zhou, Wenyan Song. (2021) <doi:10.1016/j.jclepro.2021.126943>.
    Hamid Derviş. (2019) <doi:10.5530/jscires.8.3.32>.