--- title: September 2026 Top 40 New CRAN Packages | daily.dev description: This roundup lists 40 new R packages on CRAN in September 2026, grouped by field. Highlights include tulpa, a Bayesian hierarchical modeling engine with... canonical: https://daily.dev/posts/september-2026-top-40-new-cran-packages-htezfbx9p twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: September 2026 Top 40 New CRAN Packages | daily.dev og:description: This roundup lists 40 new R packages on CRAN in September 2026, grouped by field. Highlights include tulpa, a Bayesian hierarchical modeling engine with... og:url: https://daily.dev/posts/september-2026-top-40-new-cran-packages-htezfbx9p og:image: https://api.daily.dev/og/posts/HtEzFBx9p.png og:image:alt: September 2026 Top 40 New CRAN Packages og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # September 2026 Top 40 New CRAN Packages **[R-bloggers](https://daily.dev/sources/rbloggers)** · 16 min read · 0 upvotes · 0 comments ## Summary This roundup lists 40 new R packages on CRAN in September 2026, grouped by field. Highlights include tulpa, a Bayesian hierarchical modeling engine with spatial and temporal fields; ducklake, a tidyverse interface to the DuckDB-based DuckLake lakehouse format; and icebergr, a native R client for Apache Iceberg that connects to REST and AWS Glue catalogs. Other entries cover causal inference (phdid for staggered difference-in-differences), machine learning (fastgbm, a gradient boosting library with survival objectives), and visualization (ggCheysson, ggmosaic2). Fields represented include agriculture, climate studies, genomics, epidemiology, networks, and surveys. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Questions this post answers ### Is there an R package for connecting to Apache Iceberg tables? Yes, icebergr version 0.2.0 implements a native R client for Apache Iceberg, the open table format used by Snowflake, Databricks, BigQuery, AWS and Dremio. It connects to REST and AWS Glue catalogs, lists namespaces and tables, reads schema and partition specs, scans data with predicate and projection pushdown, and supports time travel through snapshot history, using Apache Arrow as the interchange layer. _Developers evaluating R options for lakehouse architectures can track new package releases like this on daily.dev._ ### What R package provides a tidyverse-style interface to DuckLake? ducklake version 0.6.0 provides a tidyverse-friendly interface to DuckLake, the DuckDB lakehouse format. It lets you attach versioned data lakes from R and work with them using familiar dplyr verbs, supporting ACID transactions, time travel queries, snapshot audit trails, data inlining, encrypted storage, and multiple catalog backends including DuckDB, PostgreSQL, SQLite and MySQL. _Anyone choosing a DuckDB-based lakehouse workflow in R can follow package updates like ducklake on daily.dev._ ### Is there an R package for gradient boosting that supports survival analysis objectives? fastgbm version 0.6.1 implements a fast gradient boosting machine covering regression, binary and multiclass classification, and right-censored survival analysis via Cox with Breslow ties, accelerated failure time, or piecewise-exponential objectives. It provides native missing-value routing, baseline-hazard estimation, survival-probability prediction, and deterministic multi-threaded training via RcppParallel. _Data scientists comparing boosting libraries for survival modeling can follow releases like fastgbm on daily.dev._ ## Similar posts on daily.dev - [August 2026 Top 40 New CRAN Packages](https://daily.dev/posts/august-2026-top-40-new-cran-packages-fxzxlquda) · R-bloggers · 0 upvotes · 0 comments - [March 2026 Top 40 New CRAN Packages](https://daily.dev/posts/march-2026-top-40-new-cran-packages-f39004gwm) · R-bloggers · 0 upvotes · 0 comments - [December 2025 Top 40 New CRAN Packages](https://daily.dev/posts/december-2025-top-40-new-cran-packages-x54bnlsm5) · R-bloggers · 0 upvotes · 0 comments - [October 2025 Top 40 New CRAN Packages](https://daily.dev/posts/october-2025-top-40-new-cran-packages-8giq7hsbe) · R-bloggers · 0 upvotes · 0 comments - [January 2026 Top 40 New CRAN Packages](https://daily.dev/posts/january-2026-top-40-new-cran-packages-v1t5g34io) · R-bloggers · 0 upvotes · 0 comments --- Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#r](https://daily.dev/tags/r), [#data-visualization](https://daily.dev/tags/data-visualization), [#statistics](https://daily.dev/tags/statistics) [View this post on daily.dev](https://daily.dev/posts/september-2026-top-40-new-cran-packages-htezfbx9p) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"September 2026 Top 40 New CRAN Packages","url":"https://daily.dev/posts/september-2026-top-40-new-cran-packages-htezfbx9p","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/september-2026-top-40-new-cran-packages-htezfbx9p"},"datePublished":"2026-10-31T00:20:30.933Z","dateModified":"2026-10-31T00:21:00.848Z","description":"This roundup lists 40 new R packages on CRAN in September 2026, grouped by field. 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