A set of functions allowing to implement the 'SpiceFP' approach
  which is iterative. It involves transformation of functional predictors into
  several candidate explanatory matrices (based on contingency tables), to which
  relative edge matrices with contiguity constraints are associated. Generalized
  Fused Lasso regression are performed in order to identify the best candidate
  matrix, the best class intervals and related coefficients at each iteration.
  The approach is stopped when the maximal number of iterations is reached or
  when retained coefficients are zeros. Supplementary functions allow to get
  coefficients of any candidate matrix or mean of coefficients of many candidates.
  The methods in this package are describing in Girault Gnanguenon Guesse, 
  Patrice Loisel, Bénedicte Fontez, Thierry Simonneau, Nadine Hilgert (2021)
  "An exploratory penalized regression to identify combined effects of functional
  variables -Application to agri-environmental issues" 
  <https://hal.archives-ouvertes.fr/hal-03298977>.

Improves the interpretation of the Standardized Precipitation
    Index under changing climate conditions. The package uses the
    nonstationary approach proposed in Blain et al. (2022)
    <doi:10.1002/joc.7550> to detect trends in rainfall quantities and to
    quantify the effect of such trends on the probability of a drought event
    occurring.

Provides tabulation, descriptive-summary, and
    variable-inspection tools for applied data analysis. Frequency
    tables and cross-tabulations with contingency-table association
    measures (Cramer's V, Phi, Goodman-Kruskal Gamma, Kendall's
    Tau-b, Somers' D, and others); categorical and continuous
    summary tables; regression coefficient tables for one or more
    'lm' or 'glm' fits side by side; and outcome-by-group
    comparison tables from linear models with optional additive
    covariate adjustment. All table outputs follow APA conventions
    and expose 'broom'-compatible 'tidy()' / 'glance()' methods
    for downstream pipelines. Helpers cover interactive codebooks,
    variable-label extraction, clipboard export, and row-wise
    descriptive summaries.