Perform parallel factor analysis (PARAFAC: Hitchcock, 1927)
	<doi:10.1002/sapm192761164> on fluorescence excitation-emission
	matrices: handle scattering signal and inner filter effect, scale
	the dataset, fit the model; perform split-half validation or
	jack-knifing. Modified approaches such as Whittaker interpolation,
	randomised split-half, and fluorescence and scattering model
	estimation are also available. The package has a low dependency
	footprint and has been tested on a wide range of R versions.

Implements discrete time deterministic and stochastic age-structured population dynamics models described in Erguler and others (2016) <doi:10.1371/journal.pone.0149282> and Erguler and others (2017) <doi:10.1371/journal.pone.0174293>.

Interface package for 'sala', the spatial network analysis library
    from the 'depthmapX' software application. The R parts of the code are based
    on the 'rdepthmap' package. Allows for the analysis of urban and
    building-scale networks and provides metrics and methods usually found
    within the Space Syntax domain. Methods in this package are described by K.
    Al-Sayed, A. Turner, B. Hillier, S. Iida and A. Penn (2014) "Space Syntax
    methodology", and also by A. Turner (2004)
    <https://discovery.ucl.ac.uk/id/eprint/2651> "Depthmap 4: a researcher's
    handbook".

It provides the density, distribution function, quantile function, 
             random number generator, likelihood function, moments and Maximum Likelihood estimators for a given sample, all this for
             the three parameter Asymmetric Laplace Distribution defined 
             in Koenker and Machado (1999). This is a special case of the skewed family of distributions
             available in Galarza et.al. (2017) <doi:10.1002/sta4.140> useful for quantile regression.

EM algorithm for estimation of parameters and other methods in a quantile regression.

The goal of the package 'aldvmm' is to fit adjusted limited 
    dependent variable mixture models of health state utilities. Adjusted 
    limited dependent variable mixture models are finite mixtures of normal 
    distributions with an accumulation of density mass at the limits, and a gap 
    between 100% quality of life and the next smaller utility value. The 
    package 'aldvmm' uses the likelihood and expected value functions proposed 
    by Hernandez Alava and Wailoo (2015) <doi:10.1177/1536867X1501500307> using 
    normal component distributions and a multinomial logit model of 
    probabilities of component membership.