the objective followed in this study was to compare six software packages (dfreml, wombat, asreml, matvec, dmu and thrgibbsf90) as based on some such features as being user friendly, easing computational facilities as well as accuracy and precision of the estimated genetic vs. environmental parameters. for conduction of the study, simulated and field data (birth weights and weaning weight of ba...

*Author to whom all correspondence and reprint requests should be sent. E-mail: [email protected] Abstract Current fMRI neuroimaging software programs offer the researcher a wealth of analysis methods and tools. However, the incompatibilities in user interface, data format, and computing environment in these tools make it difficult if not impossible for most researchers to take advantage of the...

The most widely used task functional magnetic resonance imaging (fMRI) analyses use parametric statistical methods that depend on a variety of assumptions. In this work, we use real resting-state data and a total of 3 million random task group analyses to compute empirical familywise error rates for the fMRI software packages SPM, FSL, and AFNI, as well as a nonparametric permutation method. Fo...

• Dependencies: Software packages may need other software packages to run, and often they don't tell exactly what other packages they need but leave a large room for choice. Also, some software packages cannot be installed at the same time. This makes the job of tools that automatically download required software packages difficult. Distribution maintainers want to make sure that there is alway...

Numerous software packages are being used and updated regularly on most computer systems. Installing all these software packages is a formidable task because each one has a different procedure for compiling or for placing the files required at run time. The LUDE (Logithèque Universitaire Distribuée et Extensible) software library is an organization for installing software packages, a set of too...

INTRODUCTION The analysis of functional magnetic resonance imaging (fMRI) data is a complicated procedure. The large data sets are computationally difficult to manipulate and special modeling techniques are necessary to deal with temporal correlation and to apply results beyond the study population. The statistical models used to analyze fMRI data require numerous steps starting with raw data a...