Contains data from an observational study concerning possible effects of light daily alcohol consumption on survival and on HDL cholesterol.  It also replicates various simple analyses in Rosenbaum (2025a) <doi:10.1080/09332480.2025.2473291>.  Finally, it includes new R code in wgtRankCef() that implements and replicates a new method for constructing evidence factors in observational block designs.

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.

Provides scalable generalized linear and mixed effects models tailored for sequence count data analysis (e.g., analysis of 16S or RNA-seq data). Uses Dirichlet-multinomial sampling to quantify uncertainty in relative abundance or relative expression conditioned on observed count data. 
    Implements scale models as a generalization of normalizations which account for uncertainty in scale (e.g., total abundances) as described in Nixon et al. (2025) <doi:10.1186/s13059-025-03609-3> and McGovern et al. (2025) <doi:10.1101/2025.08.05.668734>.