Content Analysis in R: Integrated Qualitative (LLMs) and Quantitative Pipeline R package acR version 0.3.4 Provides an integrated pipeline for content analysis combining qualitative coding assisted by large language models (LLMs) with classical quantitative text analysis. Includes modules for pre-processing (tokenization, stopwords for Brazilian Portuguese), descriptive statistics, keyness, co-occurrence networks, word clouds (including comparative and X-ray variants), sentiment analysis via OpLexicon, Latent Dirichlet Allocation (LDA), inter-coder reliability metrics (Krippendorff, Gwet), and modern visualizations based on ggplot2. Special focus on Brazilian corpora and political-institutional codebooks. Inspired by Maerz and Benoit (2025) <https://quallmer.github.io/quallmer/>. Software Depends: R (>= 4.1) Imports: cli, dplyr, httr2, irr, jsonlite, purrr, rlang, stringr, tibble, tidyr, tidyselect, withr, yaml Suggests: callr, cluster, covr, ellmer, ggplot2, ggraph, ggwordcloud, igraph, ipeaplot, knitr, shiny, openxlsx, pkgdown, quanteda, readtext, rmarkdown, scales, senatebR, spelling, stopwords, stringi, tesseract, testthat, tidytext, topicmodels, wordcloud, writexl Anderson Henrique <anderson.henrique@usp.br> Comprehensive R Archive Network (CRAN) Anderson Henrique [aut, cre] (ORCID: <https://orcid.org/0000-0002-1842-2725>) MIT + file LICENSE (https://CRAN.R-project.org/package=acR/LICENSE) 2026-09-10 application/tgz https://CRAN.R-project.org/package=acR doi:10.32614/CRAN.package.acR en-US