May 2024: RsNLME 2.0.1 release
October 2023: RsNLME 2.0 release
VPC replicate issue when reset is used resolved (DRWN-1183)
When performing a VPC run with reset mapped, the replicate count would just cycle between 0 and 1. This issue has been resolved and the replicate value now counts up to nreplicates.
Random effect parameters now properly reinitialized after removal and being added back (DRWN-1126)
When removing random effects from a model, then subsequently adding again, there were cases where previous random effect parameters were not reinitialized in the model properly. This issue has been resolved.
Previously set random effects values are now retained when new effects are added through randomEffect() (DRWN-1141)
When removing random effects from a model, then subsequently adding again, there were cases when previous values would be reset to default instead of the originally specified value.
Models containing A1Strip now recognize the variable as a required column mapping (DRWN-1123)
Results for models with secondary parameters are now correctly supplied when Naive Pooled engine is used (DRWN-1124)
TDL5 performance enhancement: Model translation jobs involving less than 600 ODEs has dropped from 2.5 minutes to 10 seconds or less (DRWN-721).
NLME Engine can run on Ubuntu 22.04 hosts (DRWN-867).
License information is now included in the model fit output (DRWN-823).
The license type (Academic or Commercial), the expiration date, current date and days until the license expires is now present in the output. If the license is no longer valid, a statement to this effect replaces the days until expiration data, and a link is present for contacting Certara Support.
MPICH implementation of the Message Passing Interface (MPI) standard on Windows replaced by Microsoft MPI (PHX-20740).
NLME now utilizes a library of correctly rounded elementary functions in double precision (PHX-20759).
Switching to this platform-independent math library eliminates the observance of differences in results when executing on different platforms.
The estimatesUI() function, which launches the initial estimates Shiny application, has been moved from the Certara.RsNLME package to Certara.RsNLME.ModelBuilder package (DRWN-716).
Additional information is available at:
https://certara.github.io/R-RsNLME-model-builder/reference/estimatesUI.html
SLURM grid is now supported (DRWN-828).
The peakreset statement now resets the peak variable to blank and works for both Cmin/Tmin and Cmax/Tmax (PHX-20742/CRM 00128739).
Previously, the peakreset statement only worked when used for Cmax/Tmax tracking, since it reset the peak variable to 0.
NLME now uses predefined sequence variables in structural parameters calculation (DRWN-326).
When some variables were initialized in the sequence block, they were initialized after defining dependent structural parameters, causing the initial compartment value to be an inappropriate value if closed form was used. This issue has been fixed.
NLME now properly reads data column definition files (DRWN-960/SUPPORT-2302).
A case was reported where NLME did not read the column definitions properly, causing the observation definition to be doubled. This problem has been fixed.
Setting the initial LL too high no longer causes optimization by FOCE algorithms to exit prematurely (PHX-20736).
For some models, parameters were not fully optimized by FOCE algorithms when the initial LL was too high. This resulted in exiting the optimization prematurely with exit code 1. This issue has been fixed
QRPEM now correctly shows zero etas for the subjects with zero observations (PHX-8320/QC 18182/SF00008335).
Previously, all etas were updated irrespective of the number of observations.
Population models with zeroed etas can now be created (DRWN-923).
It was reported that a simulation for a population model could not be run while setting all eta and sigma terms to 0. Setting all error terms to 0 caused the model to default to individual and, as a result, id was being removed from the mappings. This issue has been resolved.
The NLME Engine installer must be run as an administrator or the installation will fail (RSNLME-346): If an error is encountered during installation, check that the person installing has administrator privileges.
NLME engine returns a negative value for the standard deviation of residual error variable (PRN-540): If such a situation occurs, then the absolute value of the standard deviation should be considered as the final estimate.
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