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Resubmission

This is a resubmission. In this version I have:

  • Used single quotes in title and description

  • Removed "This package" from the description.

  • Mentioned the article describing the package even though it is not published yet.

  • Removed all the \dontrun{}

  • Replace cat() with message() in R/final_pbox.R and R/set_pbox.R

R CMD check results

0 errors | 0 warnings | 1 note

  • This is a new release.

Comments for CRAN Submission

Package: pbox

Version: 0.1.8

Title: Exploring Multivariate Spaces with Probability Boxes

Authors: Ahmed T. Hammad (ahmed.t.hammad@gmail.com{.email})

Summary

The pbox package facilitates probabilistic modeling and scenario analysis using Probability Boxes (p-boxes). It provides a comprehensive set of tools for constructing, querying, and analyzing p-box objects, which encapsulate the uncertainty and dependencies in multivariate data. The package is particularly useful for applications requiring detailed uncertainty quantification and probabilistic reasoning, such as risk assessment and decision analysis.

Key Features

  • Automated Distribution and Copula Selection: Automatically selects the best marginal distributions and copula models for a given dataset, simplifying the modeling process.

  • Flexible Querying: Supports complex queries on the probabilistic space of p-box objects, including marginal, joint, and conditional distributions.

  • Scenario Analysis: Enables detailed scenario analysis by perturbing underlying parameters and assessing the impact on probabilistic outcomes.

  • Confidence Intervals: Optionally estimates confidence intervals through bootstrapping, providing robust uncertainty quantification.

Major Functions

  • set_pbox(): Constructs a pbox object from a dataset by selecting the best marginal distributions and copula.

  • qpbox(): Queries the probabilistic space of a pboxobject, supporting marginal, joint, and conditional probability calculations. grid_pbox(): Performs a grid search to explore the probabilistic space over a grid of values.

  • scenario_pbox(): Performs scenario analysis by modifying underlying parameters of a pbox object.

    Testing and Quality Assurance Comprehensive unit tests are included, covering various input scenarios and edge cases to ensure the robustness and reliability of the package functions.

The package has been checked using R CMD check --as-cran and passes all tests without errors or warnings.

Additional Information

Vignette

A detailed vignette is provided to demonstrate the main functionalities of the package, including data preparation, visualization, probabilistic querying, and scenario analysis. Dependencies: The package depends on several well-known and actively maintained R packages, including data.table, ggplot2, copula, gamlss, and gamlss.dist.

Submission Notes

This is the initial submission of the pbox package to CRAN.

The package follows CRAN policies and guidelines, including proper documentation, testing, and dependency management. I am committed to maintaining and updating the package based on user feedback and CRAN policies. Thank you for considering the pbox package for inclusion in CRAN. I look forward to your feedback and I am happy to make any necessary adjustments to meet CRAN standards. After being accepted as part of CRAN, I will submit a detailed paper to the Journal of Statistical Software, where I will discuss the mathematical background, the key features, and provide an application of the library, along with a discussion of potential future improvements."