Rsmlx 2024.1 – (on GitHub, June 10th 2024)
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Made the package compatible with 2024R1 version of MonolixSuite
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Added error in the case of version mismatch among Rsmlx, lixoftConnectors, and MonolixSuite
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Fixed bugs related to launched tasks in buildmlx, warning in pkpopini, and error in buildVar in some cases
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Handle nbSSDoses in bootmlx
Rsmlx 2023.1.2 – (on GitHub, August 10th 2023)
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Added a more informative error message in case of data set headers not matching Monolix headers when using bootmlx
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Fixed a bug in bootmlx causing data set generation getting stuck in certain cases when using projects with occasions and covStrat
Rsmlx 2023.1.1 – (on GitHub and CRAN, June 19th 2023)
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Renamed two helper functions to pass CRAN checks
Rsmlx 2023.1 – (on GitHub, May 30th 2023)
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Made the package compatible with 2023R1 version of MonolixSuite
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Refactored bootmlx code to handle replicates one by one
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bootmlx now generates data sets and Monolix projects just before running parameter estimation, instead of generating all data sets before estimating parameters for all replicates
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it is now possible to delete generated data sets and projects using the additional arguments
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Fixed a bug when running bootstrap on a project that contains unmapped variables that can be mapped to observation IDs (generated projects would have those variables automatically mapped)
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Running bootmlx on a project with data set that contains special characters returns a more meaningful error
Rsmlx 5.0.1 – (on GitHub and CRAN, June 15th, 2022).
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It is now possible to introduce some prior information about the statistical model in
buildmlxandbuildAll. -
Additional tests can be performed (or not) for building the statistical model using
buildmlxorbuildAlland the SAMBA algorithm. -
Different criteria can be used for building the PK model with
pkbuild,as well as the possibility to linearize (or not) model for computing the likelihood -
Several bugs have been fixed.
Rsmlx 4.0.3 – (on GitHub, March 11th, 2022).
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An error occurred with bootmlx using R Studio 2022
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Using buildAll, package
lixoftConnectorsis now automatically loaded.
Rsmlx 4.0.2 – (on GitHub and CRAN, March 4th, 2022).
Several bugs have been fixed, including:
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with bootmlx, datasets are generated but not run
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with buildmlx, ll=F produces an error
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with buildmlx, covariates used for stratification are not correctly managed
Rsmlx 4.0.1 – (on GitHub and CRAN, February 23rd, 2022).
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Rsmlx 4.0.1 is compatible with MonolixSuite 2021R1. It is not compatible with previous versions of Monolix.
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Rsmlx 4.0.1 includes two new functions for model building:
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buildVar is designed to build the best variance model for the random effects by selecting which individual parameters vary and which ones are fixed,
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buildAll builds the complete statistical model by iteratively calling functions buildmlx and buildVar.
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buildmlx has been improved. It now includes the use of statistical tests to check:
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which covariate/parameter relationship or which correlation between random effects could have been missed,
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which covariate/parameter relationship or which correlation could be removed (using the Wald test).
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Rsmlx 3.0.3 – (on GitHub, May 18th, 2021)
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minor bug fixes
Rsmlx 3.0.0 – (on GitHub and CRAN, January 20th, 2021).
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Rsmlx 3.0.0 is compatible both with Monolix 2019 and Monolix 2020
Rsmlx 2.0.5 – (on GitHub, October 28th, 2020).
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bootmlx: parametric bootstap works properly
Rsmlx 2.0.4 – (on GitHub, June 12th, 2019).
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buildmlx: a bug introduced inadvertently in version 2.0.3 has been fixed
Rsmlx 2.0.3 – (on GitHub, June 7th, 2019).
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bug fixes:
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pkpopini
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buildmlx (bug when different names of observations in the model and in the data)
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Rsmlx 2.0.2 – (on CRAN and GitHub, April 30th, 2019).
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Rsmlx 2.0 is on CRAN!
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This new version of
Rsmlxruns with the MonolixSuite 2019R1 -
No need to load the
lixoftConnectorslibrary -
See the install procedure.
Rsmlx 2.0.1 – (on GitHub, April 26th, 2019).
minor bug fixes
Rsmlx 2.0.0 – (on GitHub, April 19th, 2019).
Rsmlx 1.1.2 – (on GitHub, October 25th, 2018)
Rsmlx is now fully compatible with MlxConnectors of MonolixSuiteR2
Rsmlx 1.1.1 – (on GitHub, October 22nd, 2018)
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bootmlx: bug fixes
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getEstimatedIndividualParameters2: bug fix (eta’s were not correctly computed for normal distributions)
Rsmlx 1.1.0 – (on CRAN and GitHub, July 16th, 2018)
New functions:
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whichPKmodel
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readDatamlx
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pkpopini
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pkbuild
Rsmlx 1.0.2 – (on GitHub, July 6th, 2018)
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bootmlx: bug fix: it is now possible to have correlations between random effects in the model.