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articles/algorithmic-scaling.md

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@@ -295,10 +295,10 @@ knitr::kable(scaling_results, digits = 3,
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| method | pathogen_structure | scaling_exponent | r_squared |
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|:------------|:-------------------|-----------------:|----------:|
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| p_spline | multiple | 1.009 | 0.997 |
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| p_spline | single | 0.840 | 0.990 |
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| random_walk | multiple | 0.958 | 0.999 |
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| random_walk | single | 0.883 | 0.984 |
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| p_spline | multiple | 1.001 | 0.997 |
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| p_spline | single | 0.851 | 0.992 |
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| random_walk | multiple | 0.962 | 0.999 |
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| random_walk | single | 0.879 | 0.981 |
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Scaling exponents: time complexity approximately O(n^exponent) {.table}
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@@ -803,7 +803,7 @@ on data similar to its intended use case.
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``` r
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sessionInfo()
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#> R version 4.6.0 (2026-04-24)
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#> R version 4.6.1 (2026-06-24)
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#> Platform: x86_64-pc-linux-gnu
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#> Running under: Ubuntu 24.04.4 LTS
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#>
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#> [1] stats graphics grDevices utils datasets methods base
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#>
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#> other attached packages:
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#> [1] dplyr_1.2.1 ggplot2_4.0.3
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#> [3] EpiStrainDynamics_0.0.1.1
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#> [1] dplyr_1.2.1 ggplot2_4.0.3
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#> [3] EpiStrainDynamics_0.0.1.9000
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#>
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#> loaded via a namespace (and not attached):
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#> [1] tidyselect_1.2.1 viridisLite_0.4.3 timeDate_4052.112
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#> [4] farver_2.1.2 viridis_0.6.5 loo_2.9.0
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#> [4] farver_2.1.2 viridis_0.6.5 loo_2.10.0
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#> [7] S7_0.2.2 fastmap_1.2.0 digest_0.6.39
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#> [10] rpart_4.1.27 timechange_0.4.0 lifecycle_1.0.5
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#> [13] StanHeaders_2.32.10 survival_3.8-6 magrittr_2.0.5
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#> [16] compiler_4.6.0 rlang_1.2.0 sass_0.4.10
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#> [19] tools_4.6.0 yaml_2.3.12 data.table_1.18.4
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#> [16] compiler_4.6.1 rlang_1.3.0 sass_0.4.10
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#> [19] tools_4.6.1 yaml_2.3.12 data.table_1.18.4
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#> [22] knitr_1.51 labeling_0.4.3 htmlwidgets_1.6.4
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#> [25] pkgbuild_1.4.8 RColorBrewer_1.1-3 withr_3.0.2
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#> [25] pkgbuild_1.4.8 RColorBrewer_1.1-3 withr_3.0.3
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#> [28] purrr_1.2.2 desc_1.4.3 nnet_7.3-20
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#> [31] grid_4.6.0 stats4_4.6.0 timetk_2.9.1
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#> [31] grid_4.6.1 stats4_4.6.1 timetk_2.9.1
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#> [34] xts_0.14.2 future_1.70.0 inline_0.3.21
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#> [37] globals_0.19.1 scales_1.4.0 MASS_7.3-65
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#> [40] anytime_0.3.13 cli_3.6.6 rmarkdown_2.31
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#> [43] ragg_1.5.2 generics_0.1.4 otel_0.2.0
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#> [46] RcppParallel_5.1.11-2 future.apply_1.20.2 cachem_1.1.0
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#> [49] rstan_2.32.7 splines_4.6.0 bayesplot_1.15.0
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#> [52] parallel_4.6.0 matrixStats_1.5.0 vctrs_0.7.3
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#> [49] rstan_2.32.7 splines_4.6.1 bayesplot_1.15.0
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#> [52] parallel_4.6.1 matrixStats_1.5.0 vctrs_0.7.3
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#> [55] hardhat_1.4.3 Matrix_1.7-5 jsonlite_2.0.0
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#> [58] listenv_0.10.1 systemfonts_1.3.2 gower_1.0.2
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#> [61] jquerylib_0.1.4 tidyr_1.3.2 recipes_1.3.2
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#> [64] glue_1.8.1 parallelly_1.47.0 pkgdown_2.2.0
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#> [58] listenv_1.0.0 systemfonts_1.3.2 gower_1.0.2
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#> [61] jquerylib_0.1.4 tidyr_1.3.2 recipes_1.3.3
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#> [64] glue_1.8.1 parallelly_1.48.0 pkgdown_2.2.1
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#> [67] codetools_0.2-20 rsample_1.3.2 lubridate_1.9.5
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#> [70] gtable_0.3.6 QuickJSR_1.9.2 tibble_3.3.1
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#> [70] gtable_0.3.6 QuickJSR_1.10.0 tibble_3.3.1
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#> [73] pillar_1.11.1 furrr_0.4.0 htmltools_0.5.9
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#> [76] ipred_0.9-15 lava_1.9.1 R6_2.6.1
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#> [76] ipred_0.9-15 lava_1.9.2 R6_2.6.1
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#> [79] textshaping_1.0.5 evaluate_1.0.5 lattice_0.22-9
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#> [82] tsibble_1.2.0 bslib_0.11.0 rstantools_2.6.0
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#> [85] class_7.3-23 Rcpp_1.1.1-1.1 gridExtra_2.3
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#> [88] prodlim_2026.03.11 xfun_0.57 fs_2.1.0
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#> [85] class_7.3-23 Rcpp_1.1.2 gridExtra_2.3.1
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#> [88] prodlim_2026.03.11 xfun_0.60 fs_2.1.0
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#> [91] zoo_1.8-15 pkgconfig_2.0.3
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```
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