.fitrx bundleferx_save_fit.RdWrites a single, self-describing zip archive that any language with stdlib
JSON + CSV + zip readers can open (R, Python, Julia, Rust). The archive
includes parameter estimates, per-subject EBEs, per-observation
predictions, and the verbatim .ferx model source.
ferx_save_fit(fit, output, include_data = FALSE)A ferx_fit object returned by ferx_fit.
Path to write. By convention the file extension is
.fitrx; the function does not enforce this.
Logical. When TRUE, the input NONMEM CSV used
to fit the model is embedded verbatim inside the archive (as
data.csv). Requires that the file is still accessible at the
path captured at fit time (fit$data_path). Default FALSE.
Invisibly returns output.
The schema is shared with the ferx-core Rust crate; see its
docs/src/file-formats/fitrx.md for the full field reference.
ferx_load_fit, ferx_fit (and its
output argument for save-during-fit).
ex <- ferx_example("warfarin")
fit <- ferx_fit(ex$model, ex$data, method = "gn", covariance = FALSE)
#> Warning: Model file [fit_options] sets `method = foce` but ferx_fit() argument overrides it with `gn`. The call-time value will be used.
#> Warning: Model file [fit_options] sets `covariance = true` but ferx_fit() argument overrides it with `false`. The call-time value will be used.
#> Mu-referencing detected for: ETA_CL, ETA_KA, ETA_V
#> Negative IWRES autocorrelation detected (Durbin-Watson = 2.61, lag-1 r = -0.37).
#> Possible over-parameterisation or misspecified residual error model.
tmp <- tempfile(fileext = ".rds")
ferx_save_fit(fit, tmp)
fit2 <- ferx_load_fit(tmp)
identical(fit$theta, fit2$theta)
#> [1] FALSE