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The R Journal

The R Journal is a peer-reviewed open-access journal that focuses on the development, documentation, and applications of the R programming language. It provides a platform for researchers, statisticians, and data scientists to share their innovative work, including new methodologies, packages, and case studies. With a strong emphasis on reproducibility, the journal aims to foster collaboration and advance the use of R in various fields, making it an essential resource for R users worldwide.

Details
Abbr. R J
Start 2009
End Continuing
Frequency Three times a year
e-ISSN 2073-4859
Country United States
Language English
Metrics
h-index / Ranks: 6131 60
SJR / Ranks: 5693 758
CiteScore / Ranks: 9632 2.50
JIF / Ranks: 5004 2.1
Recent Articles
1.
Hu L, Ji J
R J . 2024 Sep; 14(3):213-230. PMID: 39310290
provides efficient and unified functions to implement modern methods for causal inferences with multiple treatments using observational data with a focus on binary outcomes. The methods include regression adjustment, inverse...
2.
Heiling H, Rashid N, Li Q, Ibrahim J
R J . 2024 May; 15(4):106-128. PMID: 38818017
Generalized linear mixed models (GLMMs) are widely used in research for their ability to model correlated outcomes with non-Gaussian conditional distributions. The proper selection of fixed and random effects is...
3.
Bilder C, Hitt B, Biggerstaff B, Tebbs J, McMahan C
R J . 2024 May; 15(4):21-36. PMID: 38818016
Group testing is the process of testing items as an amalgamation, rather than separately, to determine the binary status for each item. Its use was especially important during the COVID-19...
4.
Li Z, Thomas J, Choi E, McCormick T, Clark S
R J . 2023 Nov; 14(4):316-334. PMID: 37974934
Verbal autopsy (VA) is a survey-based tool widely used to infer cause of death (COD) in regions without complete-coverage civil registration and vital statistics systems. In such settings, many deaths...
5.
Xu J, Luo L
R J . 2023 Jun; 14(2):77-95. PMID: 37274019
Social scientists have frequently attempted to assess the relative contribution of age, period, and cohort variables to the overall trend in an outcome. We develop an R package (and Stata...
6.
Lim D, Chen M, Ibrahim J, Kim S, Shah A, Lin J
R J . 2023 May; 14(3):142-161. PMID: 37168034
Meta-analysis, a statistical procedure that compares, combines, and synthesizes research findings from multiple studies in a principled manner, has become popular in a variety of fields. Meta-analyses using study-level (or...
7.
Masoudi E, Holling H, Wong W, Kim S
R J . 2023 Feb; 14(3):20-45. PMID: 36779039
Optimal design ideas are increasingly used in different disciplines to rein in experimental costs. Given a nonlinear statistical model and a design criterion, optimal designs determine the number of experimental...
8.
Aikens R, Rigdon J, Lee J, Baiocchi M, Goldstone A, Chiu P, et al.
R J . 2022 Jul; 13(1):614-630. PMID: 35821911
In a block-randomized controlled trial, individuals are subdivided by prognostically important baseline characteristics (e.g., age group, sex, or smoking status), prior to randomization. This step reduces the heterogeneity between the...
9.
Allmon A, Marron J, Hudgens M
R J . 2022 Jun; 13(2):266-272. PMID: 35721233
High-dimensional low sample size (HDLSS) data sets frequently emerge in many biomedical applications. The direction-projection-permutation (DiProPerm) test is a two-sample hypothesis test for comparing two high-dimensional distributions. The DiProPerm test...
10.
Lambert J, Gong L, Elliott C, Thompson K, Stromberg A
R J . 2022 Jun; 10(2):295-308. PMID: 35719742
Herein we present the R package rFSA, which implements an algorithm for improved variable selection. The algorithm searches a data space for models of a user-specified form that are statistically...