Conducts mediation analysis for structural equation models (SEM)
    estimated with 'lavaan', 'blavaan', 'cSEM', or 'modsem'. Implements
    the Baron and Kenny (1986) <doi:10.1037/0022-3514.51.6.1173> and
    Zhao, Lynch & Chen (2010) <doi:10.1086/651257>
    approaches to determine the presence and type of mediation. Supports
    covariance-based SEM, partial least squares SEM, Bayesian SEM, and
    moderated mediation models. Reports indirect effects with standard
    errors from Sobel, Delta, Monte-Carlo, and bootstrap methods, along
    with effect size measures (RIT, RID).

Implementation of the MEthod based on the Removal Effects of Criteria - MEREC- a new objective weighting method for determining criteria weights for Multiple Criteria Decision Making problems, created by Mehdi Keshavarz-Ghorabaee (2021) <doi:10.3390/sym13040525>. Given a decision matrix, the function return the Merec´s weight vector and all intermediate matrix/vectors used to calculate it.

Automates the download and processing of historical weather
    data from the Brazilian National Institute of Meteorology (INMET).
    It resolves formatting inconsistencies in raw CSV files across different
    years, removes structural artifacts, standardizes column names, converts
    timestamps to local Brazilian time zones, and outputs tidy data frames
    ready for analysis. Data are retrieved from
    <https://portal.inmet.gov.br/dadoshistoricos>.

Functions for simple fixed and random effects
        meta-analysis for two-sample comparisons and cumulative
        meta-analyses. Draws standard summary plots, funnel plots, and
        computes summaries and tests for association and heterogeneity.

Implementation of the metalog distribution in R.
    The metalog distribution is a modern, highly flexible, data-driven distribution. 
    Metalogs are developed by Keelin (2016) <doi:10.1287/deca.2016.0338>.
    This package provides functions to build these distributions from raw data. 
    Resulting metalog objects are then useful for exploratory and probabilistic analysis.