Parsing and evaluation tools that make it easy to recreate
    the command line behaviour of R.

Implements various quality evaluation statistics to assess the
    value of plant germplasm core collections using qualitative and 
    quantitative phenotypic trait data according to Odong et al. (2015) 
    <doi:10.1007/s00122-012-1971-y>.

Provides Some of the most important evaluation measures for evaluating a model. Just by giving the real and predicted class, measures such as accuracy, sensitivity, specificity, ppv, npv, fmeasure, mcc and ... will be returned.

Conducts sensitivity analyses for unmeasured confounding, selection bias, and measurement error (individually or in combination; VanderWeele & Ding (2017) <doi:10.7326/M16-2607>; Smith & VanderWeele (2019) <doi:10.1097/EDE.0000000000001032>; VanderWeele & Li (2019) <doi:10.1093/aje/kwz133>; Smith, Mathur, & VanderWeele (2021) <doi:10.1097/EDE.0000000000001380>). Also conducts sensitivity analyses for unmeasured confounding in meta-analyses (Mathur & VanderWeele (2020a) <doi:10.1080/01621459.2018.1529598>; Mathur & VanderWeele (2020b) <doi:10.1097/EDE.0000000000001180>) and for additive measures of effect modification (Mathur et al., <doi:10.1093/ije/dyac073>).

A comprehensive collection of utility functions for data analysis
    and visualization in R. The package provides 55+ functions for data
    manipulation, file handling, color palette management, bioinformatics
    workflows, plotting, and package management. Features include void value
    handling, custom infix operators, flexible file I/O, and publication-ready
    visualizations with sensible defaults. Implementation follows tidyverse
    principles (Wickham et al. (2019) <doi:10.21105/joss.01686>) and incorporates
    best practices from the R community.

An R-based application for exploratory data analysis of global EvapoTranspiration (ET) datasets. 
  'evapoRe' enables users to download, validate, visualize, and analyze multi-source ET data across various spatio-temporal scales.
  Also, the package offers calculation methods for estimating potential ET (PET), including temperature-based, combined type, and radiation-based approaches described in : Oudin et al., (2005) <doi:10.1016/j.jhydrol.2004.08.026>.
  'evapoRe' supports hydrological modeling, climate studies, agricultural research, and other data-driven fields by facilitating access to ET data and offering powerful analysis capabilities.
  Users can seamlessly integrate the package into their research applications and explore diverse ET data at different resolutions.