Release notes
Rsmlx 2024.1 – (on GitHub, June 10th 2024)
Made the package compatible with 2024R1 version of MonolixSuite
Added error in the case of version mismatch among Rsmlx, lixoftConnectors, and MonolixSuite
Fixed bugs related to launched tasks in buildmlx, warning in pkpopini, and error in buildVar in some cases
Handle nbSSDoses in bootmlx
Rsmlx 2023.1.2 – (on GitHub, August 10th 2023)
Added a more informative error message in case of data set headers not matching Monolix headers when using bootmlx
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)
Renamed two helper functions to pass CRAN checks
Rsmlx 2023.1 – (on GitHub, May 30th 2023)
Made the package compatible with 2023R1 version of MonolixSuite
Refactored bootmlx code to handle replicates one by one
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
it is now possible to delete generated data sets and projects using the additional arguments
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)
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).
It is now possible to introduce some prior information about the statistical model in
buildmlx
andbuildAll
.Additional tests can be performed (or not) for building the statistical model using
buildmlx
orbuildAll
and 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 likelihoodSeveral bugs have been fixed.
Rsmlx 4.0.3 – (on GitHub, March 11th, 2022).
An error occurred with bootmlx using R Studio 2022
Using buildAll, package
lixoftConnectors
is now automatically loaded.
Rsmlx 4.0.2 – (on GitHub and CRAN, March 4th, 2022).
Several bugs have been fixed, including:
with bootmlx, datasets are generated but not run
with buildmlx, ll=F produces an error
with buildmlx, covariates used for stratification are not correctly managed
Rsmlx 4.0.1 – (on GitHub and CRAN, February 23rd, 2022).
Rsmlx 4.0.1 is compatible with MonolixSuite 2021R1. It is not compatible with previous versions of Monolix.
Rsmlx 4.0.1 includes two new functions for model building:
buildVar is designed to build the best variance model for the random effects by selecting which individual parameters vary and which ones are fixed,
buildAll builds the complete statistical model by iteratively calling functions buildmlx and buildVar.
buildmlx has been improved. It now includes the use of statistical tests to check:
which covariate/parameter relationship or which correlation between random effects could have been missed,
which covariate/parameter relationship or which correlation could be removed (using the Wald test).
Rsmlx 3.0.3 – (on GitHub, May 18th, 2021)
minor bug fixes
Rsmlx 3.0.0 – (on GitHub and CRAN, January 20th, 2021).
Rsmlx 3.0.0 is compatible both with Monolix 2019 and Monolix 2020
Rsmlx 2.0.5 – (on GitHub, October 28th, 2020).
bootmlx: parametric bootstap works properly
Rsmlx 2.0.4 – (on GitHub, June 12th, 2019).
buildmlx: a bug introduced inadvertently in version 2.0.3 has been fixed
Rsmlx 2.0.3 – (on GitHub, June 7th, 2019).
bug fixes:
pkpopini
buildmlx (bug when different names of observations in the model and in the data)
Rsmlx 2.0.2 – (on CRAN and GitHub, April 30th, 2019).
Rsmlx 2.0 is on CRAN!
This new version of
Rsmlx
runs with the MonolixSuite 2019R1No need to load the
lixoftConnectors
librarySee 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)
bootmlx: bug fixes
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:
whichPKmodel
readDatamlx
pkpopini
pkbuild
Rsmlx 1.0.2 – (on GitHub, July 6th, 2018)
bootmlx: bug fix: it is now possible to have correlations between random effects in the model.