Update paper.md

Author: scollinselliott

paper/paper.md

@@ -25,7 +25,7 @@ The `R` package `eratosthenes` (named after Eratosthenes of Cyrene, author of th
 
 # Statement of Need
 
-Constructing chronologies via formal means is a major disciplinary goal, with a broad array of software developed to those ends. The [CRAN Task View: Archaeological Science](https://github.com/benmarwick/ctv-archaeology) maintained by Ben Marwick provides a section on chronological dating software in `R` [@r_core_team_r:_2024]. The calibration of $^{14}$C dates and the estimation of their posterior probability densities given constraints [@buck_bayesian_2025] are well served by `OxCal` [@bronk_ramsey_bayesian_2009] and `BCal` [@buck_bcal_1999], as well as `R` packages `oxcAAR` [@hinz_oxcaar_2021], `Bchron` [@haslett_simple_2008], and `rcarbon` [@crema_spatio-temporal_2017]. General chronological modeling is served by `Chronomodel` [@lanos_hierarchical_2017], which also centers on radiocarbon dating, and `ChronoLog` [@levy_chronological_2021], which focuses on discretized time intervals. The R package `ArchaeoPhases` [@philippe_analysis_2020] handles post-processing of samples form `OxCal`, `BCal`, and `ChronoModel`.  Other chronological software has been focused on modeling count data over time, such as `kairos` [@frerebeau_kairos_2025] and  `baorista` [@crema_bayesian_2025], which also focuses on counts of durative/interval events.
+Constructing chronologies via formal means is a major disciplinary goal, with a broad array of software developed to those ends. The [CRAN Task View: Archaeological Science](https://github.com/benmarwick/ctv-archaeology) maintained by Ben Marwick provides a section on chronological dating software in `R` [@r_core_team_r:_2024]. The calibration of $^{14}$C dates and the estimation of their posterior probability densities given constraints [@buck_bayesian_2025] are well served by `OxCal` [@bronk_ramsey_bayesian_2009] and `BCal` [@buck_bcal_1999], as well as `R` packages `oxcAAR` [@hinz_oxcaar_2021], `Bchron` [@haslett_simple_2008], and `rcarbon` [@crema_spatio-temporal_2017]. General chronological modeling is served by `Chronomodel` [@lanos_hierarchical_2017], which also centers on radiocarbon dating, and `ChronoLog` [@levy_chronological_2021], which focuses on discretized time intervals. The R package `ArchaeoPhases` [@philippe_analysis_2020] handles post-processing of samples form `OxCal`, `BCal`, and `ChronoModel`.  Other chronological software has focused on modeling count data over time, such as `kairos` [@frerebeau_kairos_2025] and  `baorista` [@crema_bayesian_2025], which also focuses on counts of durative/interval events.
 
 Given that there exist substantial software for calibrating radiocarbon dates, `eratosthenes` does not aim to perform this task. Likewise, the formal process of establishing relative sequences of contexts and finds via comparison, called seriation (or ordination), is a computationally difficult problem well served by many `R` packages, such as `seriation` [@hahsler_getting_2008], `vegan` [@oksanen_vegan_2024], `boral` [@hui_boral_2016], `ecoCopula` [@popovic_fast_2022], `VGAM` [@yee_new_2004], and `lakhesis` [@collins-elliott_lakhesis_underreview].