All posts from ADAPT
Prior to installing ADAPT you will need to install one of the supported Fortran Compilers (see post on System Requirements for ADAPT). ADAPT 5 can be downloaded from the BMSR the web site https://bmsr.usc.edu and installed by clicking on the installation icon. The default path for installation of ADAPT is C:\Program Files\BMSR\ADAPT 5. The installation folder also includes the subfolder \Example, which includes the files used for the examples in this User’s Guide. Another subfolder, \Library, contains all the model files that are available in the ADAPT Library. After successful installation, the installation can be validated by running the Validation program (ValidateADAPT) in the ADAPT 5 Program Group as indicated shown below. This process will run over 25 examples invoking various features of all of the ADAPT programs, and will compare the results obtain from the user’s installation to the set of results distributed with ADAPT. If these two sets… Read more
ADAPT only runs under the Microsoft Windows Operating System (XP/Server 2003/Vista). Prior to installing ADAPT, you will need to install one of the supported compilers. At present this includes the Intel Fortran Compiler 9.1-11.0 and the Compaq Fortran Compiler v6.6. The Intel Fortran Compiler license will allow you to download two versions of the compiler: one that is integrated with the Microsoft Visual Studio (MVS) and one that requires MVS to be installed separately. The former is the most straightforward, if you don’t have MVS on your machine
ADAPT 5 represents a major new version of ADAPT with expanded capabilities and other enhancements, including Parametric population PK/PD modeling using maximum likelihood estimation via the EM algorithm (MLEM module) as introduced by Schumitzky (1995) and Walker (1996), with enabling computational enhancements and extensions by Bauer and Guzy (2004). In addition, ADAPT 5 includes Iterated two-stage (ITS) analysis as proposed by Prevost (1977) and Steimer, Mallet and colleagues (1984), as well as convenient standard two-stage (STS) and naive pooled data (NPD) modeling, each with WLS, ML and MAP estimator.