Contains functions for fitting hierarchical versions of
        EVSD, UVSD, DPSD, DPSD with d' restricted to be positive, and
        our gamma signal detection model to recognition memory
        confidence-ratings data.

Functions to compute small area estimates based on a basic area or
    unit-level model. The model is fit using restricted maximum likelihood, or
    in a hierarchical Bayesian way. In the latter case numerical integration is
    used to average over the posterior density for the between-area variance.
    The output includes the model fit, small area estimates and corresponding
    mean squared errors, as well as some model selection measures. Additional functions
    provide means to compute aggregate estimates and mean squared errors, to minimally
    adjust the small area estimates to benchmarks at a higher aggregation
    level, and to graphically compare different sets of small area estimates.

Implementing Hierarchical Bayesian Small Area Estimation 
    models using the 'brms' package as the computational backend. The 
    modeling framework follows the methodological foundations described in area-level 
    models. This package is designed to facilitate a principled Bayesian workflow, 
    enabling users to conduct prior predictive checks, model fitting, posterior 
    predictive checks, model comparison, and sensitivity analysis in a coherent and 
    reproducible manner. It supports flexible model specifications via 'brms' and 
    promotes transparency in model development, aligned with the recommendations of 
    modern Bayesian data analysis practices, implementing methods described in 
    Rao and Molina (2015) <doi:10.1002/9781118735855>.

Fits Hierarchical Bayesian space-Time models for Gaussian data. Furthermore, its functions have been implemented for analysing the fitting qualities of those models.

The HBV hydrological model (Bergström, S. and Lindström, G., (2015) <doi:10.1002/hyp.10510>) has been split in modules to allow the user to build his/her own model. This version was developed by the author in IANIGLA-CONICET (Instituto Argentino de Nivologia, Glaciologia y Ciencias Ambientales - Consejo Nacional de Investigaciones Cientificas y Tecnicas) for hydroclimatic studies in the Andes. HBV.IANIGLA incorporates routines for clean and debris covered glacier melt simulations.