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AovBay: An R Package for Application and Visualization of Parametric Non-parametric and Bayesian ANOVA
AovBay: Un paquete de R para la aplicación y visualización de análisis de varianza paramétrico, no paramétrico y bayesiano
DOI:
https://doi.org/10.15446/rce.v47n1.108065Keywords:
ANOVA, Bayesian, Non-parametric, Parametric, R Software (en)NOVA, Bayesiano, No paramétrico, Paramétrico, Software R (es)
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The analysis of variance is a statistical technique widely used in the design of experiments and different research areas. It has been modeled using a classical or frequentist approach. With the computational power that is currently available, the Bayesian approach is an essential statistical tool related to hypothesis testing. However, conformity with classical techniques, ignorance of Bayesian statistics, and lack of easy-to-use software are obstacles to its frequent application. In this work, the use of a reproducible statistical package in R is proposed. It presents options to perform an analysis of variance in a classical (frequentist) and Bayesian way when the assumptions of the frequentist approach are not met or when a level of more specific inference such as quantifying the evidence provided by a data set for a given hypothesis, with the possibility of contributing to the understanding of the rejection or not of the statistical hypotheses raised, through interactive graphics presented in an emerging Shiny panel.
El análisis de varianza es una técnica estadística ampliamente utilizada en el diseño de experimentos y diferentes áreas de investigación. Ha sido modelado utilizando un enfoque clásico o frecuentista. Con el poder computacional que se tiene actualmente, el enfoque bayesiano es una herramienta estadística esencial relacionada con las pruebas de hipótesis. Sin embargo, la conformidad con técnicas clásicas, el desconocimiento de la estadística bayesiana y la falta de software fácil de usar son obstáculos para su aplicación frecuente. En este trabajo, se propone el uso de un paquete estadístico reproducible en R. Presenta opciones para realizar un análisis de varianza de manera clásica (frecuentista) y bayesiana cuando no se cumplen los supuestos del enfoque frecuentista o cuando se requiere un nivel de inferencia más específico, como cuantificar la evidencia proporcionada por un conjunto de datos para una hipótesis dada, con la posibilidad de contribuir a la comprensión del rechazo o no de las hipótesis estadísticas planteadas, a través de gráficos interactivos presentados en un panel Shiny emergente.
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