SimuRg 0.2.1 (2026-06-15)
Bug fix
- bug in
sg_parsum()was fixed - bug in
sg_gof_tp()was fixed [SD-1458] - bugs in
sg_fit()andsg_converter()were fixed [SD-1527], [SD-1532], [SD-1545]
SimuRg 0.2.0(2026-05-14)
CRAN release: 2026-05-19
Bug fixes:
- problems in
sg-translator()were solved [SD-1434] - Replaced direct manipulation of
.Random.seedwithwithr::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
TandFwithTRUEandFALSE. - Removed the phrase “Tools for” from the package description.
- Exported
sg_sim_tp() - Replaced
cat()andprint()calls inside package functions withmessage(),warning(), orstop()where appropriate. - Removed default output paths from function arguments, including uses of
getwd()
SimuRg 0.1.11(2026-04-29)
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]
SimuRg 0.1.9 (2026-04-09)
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()andsg_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]
SimuRg 0.1.8 (2026-04-03)
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
SimuRg 0.1.7 (2026-03-23)
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
SimuRg 0.1.6 (2026-03-19)
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
Documentation
- package description is now available after calling
help(SimuRg) - examples in
sg_vpc_vis()was updated
SimuRg 0.1.5(2026-03-03)
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 forsummary.txtfile appearance while fitting with Monolix - Usage of
f_scales,lab_x,lab_y,facet_i,cov_colsarguments were fixed forsg_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
SimuRg 0.1.3 (2026-02-17)
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()
