Fits the Poisson-Tweedie generalized linear mixed model
    described in Signorelli et al. (2021, <doi:10.1177/1471082X20936017>).
    Likelihood approximation based on adaptive Gauss Hermite quadrature
    rule.

Functions used for analyzing count data, mostly crime counts. Includes checking difference in two Poisson counts (e-test), checking the fit for a Poisson distribution, small sample tests for counts in bins, Weighted Displacement Difference test (Wheeler and Ratcliffe, 2018) <doi:10.1186/s40163-018-0085-5>, to evaluate crime changes over time in treated/control areas. Additionally includes functions for aggregating spatial data and spatial feature engineering.

Fits and analyses time dependent marked point process models with an emphasis on earthquake modelling. For a more detailed introduction to the package, see the topic "PtProcess". A list of recent changes can be found in the topic "Change Log".

Provides tools for analyzing and optimizing PTSD (Post-Traumatic
    Stress Disorder) diagnostic criteria using PCL-5 (PTSD Checklist for DSM-5)
    and CAPS-5 (Clinician-Administered PTSD Scale for DSM-5) data. Functions identify optimal subsets of PCL-5 items that maintain
    diagnostic accuracy while reducing assessment burden. Includes tools for
    both hierarchical (cluster-based) and non-hierarchical symptom combinations,
    calculation of diagnostic metrics, and comparison with standard DSM-5
    criteria. Model validation is conducted using holdout and cross-validation
    methods to assess robustness and generalizability of the results. For more
    details see Weidmann et al. (2025) <doi:10.31219/osf.io/6rk72_v1>.

A collection of functions to simulate, estimate and forecast a wide range of regression based dynamic models for positive time series. This package implements the results presented in Prass, T.S.; Pumi, G.; Taufemback, C.G. and Carlos, J.H. (2025). "Positive time series regression models: theoretical and computational aspects". Computational Statistics 40, 1185–1215. <doi:10.1007/s00180-024-01531-z>.