Changes in version 0.2.0 (2026-05-19)                  

Bug fixes:

  - problems in sg-translator() were solved [SD-1434]
  - Replaced direct manipulation of .Random.seed with withr::with_seed()
    to avoid modifying the user’s global RNG state.
  - Added on.exit() calls in all cases where user options or settings
    are temporarily modified
  - Removed all \dontrun{} statements from examples. Examples requiring
    more than 5 seconds were changed to \donttest{}.
  - No DOI or URL were added to the DESCRIPTION file, as no suitable
    references are available.
  - Replaced all uses of T and F with TRUE and FALSE.
  - Removed the phrase "Tools for" from the package description.
  - Exported sg_sim_tp()
  - Replaced cat() and print() calls inside package functions with
    message(), warning(), or stop() where appropriate.
  - Removed default output paths from function arguments, including uses
    of getwd()

                       Changes in version 0.1.11                        

New features:

  - sg_fit() now can work with covariates
  - sg_converter() weighted residuals reading from monolix was added, if
    avaliable[SD-1391]

Bug fixes:

  - problems in sg-gof-tp() were solved [SD-1458]
  - bugs in sg_converter() were fixed [SD-1457]

                        Changes in version 0.1.9                        

New features:

  - sg_covsens_vis() function was added to the project with tests and
    documentation
  - sg_converter() now works with two DVIDs

Bug fixes:

  - sg_converter() and sg_vpc_sim() : fixed bugs reported in [SD-1360]
  - sg_vpc_vis(): fixed bugs reported in [SD-1361]

Documentation:

  - sg_vpc_vis() documentation was fixed with the bug [SD-1361]

                        Changes in version 0.1.8                        

New features

  - sg_converter() now returns two objects: GFO - generalized fit object
    with fit results and GCO - generalized control object, that contain
    information about the fit options and see the

Bug fixes

  - sg_gof_res() was fixed with the [SD-1391] support request
  - sg_covsens_sim() was tested on additional projects

Documentation

  - all functions arguments descriptions now starts with a capital
    letter

                        Changes in version 0.1.7                        

New features

  - sg_globalsens_vis() function was added to the package

Bug fixes

  - sg_converter() error with correlations between random effects
    [SD-1340] has been solved
  - sg_converter() error duplicated DVID columns was solved [SD-1354].
    Now the package compares the column names in the initial dataset and
    the ones specified in headers to resolve possible conflicts.
  - sg_converter() error in dataset column names resolved [SD-1355]. Now
    the columns of the initial dataset are renamed after loading: all
    special signs in the column names are replaced with _

Documentation

  - examples in sg_covsens_sim() was updated

                        Changes in version 0.1.6                        

New features

  - sg_multistart() function for model assessment was added to the
    package
  - sg_covsensns_sim() function was added for covariate sensitivity
  - sg_sim() function was extended to work with multiple simulations
    scenarios
  - sg_translator() function for model syntax translation from rxode to
    mlxtran and vice-versa was added
  - sg_converter() function now works with Monolix 2023 and 2024
    versions
  - Example of GFO was updated in the package

Bug fixes

  - sg_pgof_par_dist() errors with correlation plots was fixed

Documentation

  - package description is now available after calling help(SimuRg)
  - examples in sg_vpc_vis() was updated

                        Changes in version 0.1.5                        

New features

  - sg_globalsens_sim() function for global sensetivity analysis was
    added to the package
  - Added possibility use sg_fit() with several observations

Bug fixes

  - sg_fit() error was fixed. The function will work with different
    residual error types. Now it will wait for summary.txt file
    appearance while fitting with Monolix
  - Usage of f_scales, lab_x, lab_y, facet_i, cov_colsarguments were
    fixed for sg_gof_obpr() function.
  - Visualization in the sg_gof_par_cov() function was improved

Documentation

  - sg_fit() documentation was improved due to the commits of the users

                        Changes in version 0.1.4                        

Bug fixes

  - `Bugs in examples of documentation were fixed

Documentation

  - Examples in documentation fix
  - Warfarin, sim_timeprof and data_pbc datasets documentation addition

                        Changes in version 0.1.3                        

New features

  - 8 Goodness of Fit functions: sg_parsum(), sg_modcomp(),
    sg_gof_obpr(), sg_gof_res(), sg_gof_par_dist(), sg_gof_res_dist(),
    sg_gof_par_cov(), sg_gof_tp()
  - Function to perform simulations (rxode2-based solver): sg_sim(),
    sg_sim_tp()
  - Functions for simulation-based analysis: sg_vpc_sim(), sg_vpc_vis(),
    sg_preddist_sim()
  - Model fit and model building functions(Monolix fitter): sg_fit(),
    sg_modbuild()
  - Function to convert projects across different systems. In the
    current version, conversion from Monolix(2023) to GCO (Simurg) was
    realised: sg_converter()
  - Function to generate virtual populations based on distributions, or
    a dataset: sg_vpop_est()