Cover Image

ggskewboxplots: Enhanced Boxplots for Skewed Data in R

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Cavus, Mustafa
Format:	Preprint
Published:	2025
Subjects:	Methodology Applications
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Differentially Private Boxplots
by: Ramsay, Kelly, et al.
Published: (2024)

Skewed Pivot-Blend Modeling with Applications to Semicontinuous Outcomes
by: She, Yiyuan, et al.
Published: (2024)

Unified and Simple Sample Size Calculations for Individual or Cluster Randomized Trials with Skewed or Ordinal Outcomes
by: Tu, Shengxin, et al.
Published: (2025)

Skew-elliptical copula based mixed models for non-Gaussian longitudinal data with application to an HIV-AIDS study
by: Chattopadhyay, Subhajit
Published: (2024)

Borrowing strength between unaligned binary time-series via Bayesian nonparametric rescaling of Unified Skewed Normal priors
by: Cantoni, Beatrice, et al.
Published: (2025)

R-Estimation with Right-Censored Data
by: Satten, Glen A., et al.
Published: (2026)

cardinalR: Generating Interesting High-Dimensional Data Structures
by: Gamage, Jayani P., et al.
Published: (2025)

Time-Dependent Pseudo $\boldsymbol{R^2}$ for Assessing Predictive Performance in Competing Risks Data
by: Zhuang, Zian, et al.
Published: (2025)

E-TRIALS: Empowering Data-Driven Decisions to Enhance Computer-Based Learning Platforms
by: Siedahmed, Abubakir, et al.
Published: (2025)

BayesPPDSurv: An R Package for Bayesian Sample Size Determination Using the Power and Normalized Power Prior for Time-To-Event Data
by: Shen, Yueqi, et al.
Published: (2024)

ChauBoxplot and AdaptiveBoxplot: Two R packages for boxplot-based outlier detection
by: Tong, Tiejun, et al.
Published: (2026)

Don't Disregard the Data for Lack of a Likelihood: Bayesian Synthetic Likelihood for Enhanced Multilevel Network Meta-Regression
by: Campbell, Harlan, et al.
Published: (2026)

pumBayes: Bayesian Estimation of Probit Unfolding Models for Binary Preference Data in R
by: Shi, Skylar, et al.
Published: (2025)

svc: An R package for Spatially Varying Coefficient Models
by: Akuoko-Frimpong, Justice, et al.
Published: (2025)

The R.O.A.D. to clinical trial emulation
by: Bertsimas, Dimitris, et al.
Published: (2024)

BMRMM: An R Package for Bayesian Markov (Renewal) Mixed Models
by: Wu, Yutong, et al.
Published: (2024)

Space-Time Smoothing of Survey Outcomes using the R Package SUMMER
by: Li, Zehang Richard, et al.
Published: (2020)

NCC: An R-package for analysis and simulation of platform trials with non-concurrent controls
by: Krotka, Pavla, et al.
Published: (2023)

MultiObjMatch: Matching with Optimal Tradeoffs between Multiple Objectives in R
by: Han, Shichao, et al.
Published: (2024)

cosimmr: an R package for fast fitting of Stable Isotope Mixing Models with covariates
by: Govan, Emma, et al.
Published: (2024)

Multiple Imputation of Hierarchical Nonlinear Time Series Data with an Application to School Enrollment Data
by: Liu, Daphne H., et al.
Published: (2024)

Causal Inference for Circular Data
by: Wu, Kuan-Hsun
Published: (2025)

Order Determination for Functional Data
by: Zhang, Chi, et al.
Published: (2025)

Bayesian Joint Modeling for Longitudinal Magnitude Data with Informative Dropout: an Application to Critical Care Data
by: Teng, Wen, et al.
Published: (2024)

Shiny-MAGEC: A Bayesian R Shiny Application for Meta-analysis of Censored Adverse Events
by: Zhou, Zihan, et al.
Published: (2025)

An Empirical Method for Analyzing Count Data
by: Sun, Jiren, et al.
Published: (2026)

Flexible Models for Simple Longitudinal Data
by: Ogden, Helen
Published: (2024)

Bayesian Joint Modeling of Zero-Inflated Longitudinal Data and Survival with a Cure Fraction: Application to AIDS Data
by: Baghfalaki, Taban, et al.
Published: (2025)

Causal Networks of Infodemiological Data: Modelling Dermatitis
by: Scutari, Marco, et al.
Published: (2025)

Two Sample Test for Eigendecompositions of Functional Data
by: de la Garza, Angel Garcia, et al.
Published: (2026)

Composite Dyadic Models for Spatio-Temporal Data
by: Schwob, Michael R, et al.
Published: (2023)

Penalized Likelihood Methods for Modeling Count Data
by: Bui, Minh Thu, et al.
Published: (2021)

Graph-constrained Analysis for Multivariate Functional Data
by: Dey, Debangan, et al.
Published: (2022)

Statistical Inference for Heterogeneous Treatment Effect with Right-censored Data from Synthesizing Randomized Clinical Trials and Real-world Data
by: Mao, Guangcai, et al.
Published: (2025)

tinyVAST: R package with an expressive interface to specify lagged and simultaneous effects in multivariate spatio-temporal models
by: Thorson, James T., et al.
Published: (2024)

A Nonparametric Bayesian Local-Global Model for Enhanced Adverse Event Signal Detection in Spontaneous Reporting System Data
by: Huang, Xin-Wei, et al.
Published: (2025)

Data-driven controlled subgroup selection in clinical trials
by: Müller, Manuel M., et al.
Published: (2025)

Tracking Temporal Evolution of Topological Features in Image Data
by: Glenn, Susan, et al.
Published: (2025)

Joint Modelling of Line and Point Data on Metric Graphs
by: Lilleborge, Karina, et al.
Published: (2025)

Generalized Correlation Regression for Disentangling Dependence in Clustered Data
by: Wang, Yibo, et al.
Published: (2025)