Provides 'ggplot2' graphics for analysing time
    series data. It aims to fit into the 'tidyverse' and grammar of
    graphics framework for handling temporal data.

Visualizes sulcal morphometry data derived from 'BrainVisa' <https://brainvisa.info/> including width, depth, surface area, and length. The package enables mapping of statistical group results or subject-level values onto cortical surface maps, with options to focus on all sulci or only selected regions of interest. Users can display all four measures simultaneously or restrict plots to chosen measures, creating composite, publication-quality brain visualizations in R to support the analysis and interpretation of sulcal morphology.

Estimation of mean squared prediction error of a small area predictor is provided. In particular, the recent method of Simple, Unified, Monte-Carlo Assisted approach for the mean squared prediction error estimation of small area predictor is provided. We also provide other existing methods of mean squared prediction error estimation such as jackknife method for the mixed logistic model.

Provides functions for converting transliterated Sumerian texts to sign names and cuneiform characters,
    creating and querying dictionaries, and analyzing the structure of
    Sumerian words. Includes a built-in dictionary and supports both
    forward lookup (Sumerian to English) and reverse lookup (English to
    Sumerian).

Provides additional convenience functions for 'gtsummary' 
    (Sjoberg et al. (2021) <doi:10.32614/RJ-2021-053>) & 'gt' tables, 
    including automatic variable labeling from dictionaries, standardized 
    missing value display, and consistent formatting helpers for streamlined 
    table styling workflows.

Functions to speed up the exploratory analysis of simple
    datasets using 'dplyr'. Functions are provided to do the 
    common tasks of calculating confidence intervals.

Produces tables with descriptive statistics for continuous, categorical and dichotomous variables. It is largely based on the package 'gtsummary'; Sjoberg DD et al. (2021) <doi:10.32614/RJ-2021-053>.