| Name : R-lmeNBBayes
| |
| Version : 1.3.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.13
| Date : 2024-06-14 11:00:27
|
| Group : Development/Libraries/Other
| Source RPM : R-lmeNBBayes-1.3.1-lp153.2.13.src.rpm
|
| Size : 0.26 MB
| |
| Packager : (none)
| |
| Summary : Compute the Personalized Activity Index Based on a Flexible Bayesian Negative Binomial Model
|
Description :
The functions in this package implement the safety monitoring
procedures proposed in the paper titled \"A flexible mixed effect
negative binomial regression model for detecting unusual increases in
MRI lesion counts in individual multiple sclerosis patients\" by Kondo,
Y., Zhao, Y. and Petkau, A.J. The procedure first models longitudinally
collected count variables with a negative binomial mixed-effect
regression model. To account for the correlation among repeated
measures from the same patient, the model has subject-specific random
intercept, which is modelled with the infinite mixture of Beta
distributions, very flexible distribution that theoretically allows any
form. The package also has the option of a single beta distribution for
random effects. These mixed-effect models could be useful beyond the
application of the safety monitoring. The inference is based on MCMC
samples and this package contains a Gibbs sampler to sample from the
posterior distribution of the negative binomial mixed-effect regression
model. Based on the fitted model, the personalized activity index is
computed for each patient. Lastly, this package is companion to R
package lmeNB, which contains the functions to compute the Personalized
Activity Index in the frequentist framework.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
