{
  "package": "synthdid",
  "version": "0.0.9",
  "commit": "70c1ce3eac58e28c30b67435ca377bb48baa9b8a",
  "call": "synthdid::synthdid_estimate(Y, N0, T0)",
  "archive_sha256": "9bf048eb12e5972a2290726136acaacbf6f13471072428354eeeed0298607766",
  "R": "R version 4.5.0 (2025-04-11)",
  "session": ["R version 4.5.0 (2025-04-11)", "Platform: aarch64-apple-darwin20", "Running under: macOS 26.6.2", "", "Matrix products: default", "BLAS:   /Library/Frameworks/R.framework/Versions/4.5-arm64/Resources/lib/libRblas.0.dylib ", "LAPACK: /Library/Frameworks/R.framework/Versions/4.5-arm64/Resources/lib/libRlapack.dylib;  LAPACK version 3.12.1", "", "locale:", "[1] C.UTF-8/C.UTF-8/C.UTF-8/C/C.UTF-8/C.UTF-8", "", "time zone: America/Los_Angeles", "tzcode source: internal", "", "attached base packages:", "[1] stats     graphics  grDevices utils     datasets  methods   base     ", "", "other attached packages:", "[1] knitr_1.50     jsonlite_2.0.0 ggplot2_4.0.2  synthdid_0.0.9", "", "loaded via a namespace (and not attached):", " [1] vctrs_0.6.5        cli_3.6.5          rlang_1.1.6        xfun_0.52         ", " [5] generics_0.1.4     S7_0.2.1           glue_1.8.0         htmltools_0.5.8.1 ", " [9] scales_1.4.0       rmarkdown_2.29     grid_4.5.0         tibble_3.2.1      ", "[13] evaluate_1.0.3     fastmap_1.2.0      yaml_2.3.10        mvtnorm_1.4-2     ", "[17] lifecycle_1.0.4    compiler_4.5.0     dplyr_1.1.4        RColorBrewer_1.1-3", "[21] pkgconfig_2.0.3    htmlwidgets_1.6.4  farver_2.1.2       digest_0.6.37     ", "[25] R6_2.6.1           tidyselect_1.2.1   pillar_1.10.2      magrittr_2.0.3    ", "[29] withr_3.0.2        tools_4.5.0        gtable_0.3.6      "],
  "defaults": {
    "Y": "",
    "N0": "",
    "T0": "",
    "X": "array(dim = c(dim(Y), 0))",
    "noise.level": "sd(apply(Y[1:N0, 1:T0], 1, diff))",
    "eta.omega": "((nrow(Y) - N0) * (ncol(Y) - T0))^(1/4)",
    "eta.lambda": "1e-06",
    "zeta.omega": "eta.omega * noise.level",
    "zeta.lambda": "eta.lambda * noise.level",
    "omega.intercept": "TRUE",
    "lambda.intercept": "TRUE",
    "weights": "list(omega = NULL, lambda = NULL)",
    "update.omega": "is.null(weights$omega)",
    "update.lambda": "is.null(weights$lambda)",
    "min.decrease": "1e-05 * noise.level",
    "max.iter": "10000",
    "sparsify": "sparsify_function",
    "max.iter.pre.sparsify": "100"
  }
}