Miscellaneous functions to help customise 'ggplot2' objects. High-level functions are provided to post-process 'ggplot2' layouts and allow alignment between plot panels, as well as setting panel sizes to fixed values. Other functions include a custom 'geom', and helper functions to enforce symmetric scales or add tags to facetted plots.

An implementation of Bayesian hierarchical models
    for faecal egg count data to assess anthelmintic
    efficacy. Bayesian inference is done via MCMC sampling using 'Stan' <https://mc-stan.org/>.

Fits a variety of hidden Markov models, structured
	in an extended generalized linear model framework.  See
	T. Rolf Turner, Murray A. Cameron, and Peter J. Thomson
	(1998) <doi:10.2307/3315677>, and
	Rolf Turner (2008) <doi:10.1016/j.csda.2008.01.029>
	and the references cited therein.

A system for importing electrophysiological signal, based
    on the 'Waveform Database (WFDB)' software package, written by Moody et al 
    2022 <doi:10.13026/gjvw-1m31>. A R-based system to utilize 'WFDB' functions
    for reading and writing signal data, as well as functions for visualization
    and analysis are provided. A stable and broadly compatible class for working
    with signal data, supporting the reading in of cardiac electrophysiological
    files such as intracardiac electrograms, is introduced.

User friendly interface based on the R package 'gstat' to fit
    exponential parametric models to empirical semi-variograms in order to
    model the spatial correlation structure of health data. Geo-located
    health outcomes of survey participants may be used to model spatial
    effects on health in an ego-centred approach.  The package contains a
    range of functions to help explore the spatial structure of the data
    as well as visualize the fit of exponential models for various
    metaparameter combinations with respect to the number of lag intervals
    and maximal distance.  Furthermore, the outcome of interest can be
    adjusted for covariates by fitting a linear regression in a
    preliminary step before the semi-variogram fitting process.