ArticleEcology and evolution2026
pam: An R Package for Fast and Efficient Processing of Pulse-Amplitude Modulation Data.
Article in Ecology and evolution, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
- Sphaerochara canadensis (Charophyceae): A circumpolar species with a high temperature optimum.Journal of phycology · 2025Article
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Rapid light curves recorded via the pulse-amplitude modulation (PAM) technique are widely used to characterize photosynthesis, enabling the determination of key photosynthetic parameters. However, deriving these kinetic parameters from raw data requires fitting to regression models, a process traditionally involving laborious and error-prone manual steps. Our R package pam streamlines this process by automating regression analysis, enabling fast and reproducible processing of large datasets. It provides the models of Vollenweider (1965), Platt et al. (1980), Eilers and Peeters (1988) and Walsby (1997). To demonstrate the functionality of the package, we present a workflow including data reading, model fitting, data validation, and data export using a dataset of 20 files and compare the results with those obtained from the built-in WALZ Solver and the Excel Solver add-on. The workflow successfully processed all data, produced reliable results, and executed in less than 20 s, making it several times faster than traditional approaches, such as using the Excel Solver add-on. This R package and its source code are freely available on GitHub at https://github.com/biotoolbox/pam and CRAN at https://cran.r-project.org/web/packages/pam/index.html.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.