| Name : R-serrsBayes
| |
| Version : 0.5.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp156.2.1
| Date : 2024-09-10 02:58:38
|
| Group : Development/Libraries/Other
| Source RPM : R-serrsBayes-0.5.0-lp156.2.1.src.rpm
|
| Size : 1.61 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Bayesian Modelling of Raman Spectroscopy
|
Description :
Sequential Monte Carlo (SMC) algorithms for fitting a generalised
additive mixed model (GAMM) to surface-enhanced resonance Raman
spectroscopy (SERRS), using the method of Moores et al. (2016)
< arXiv:1604.07299>. Multivariate observations of SERRS are highly
collinear and lend themselves to a reduced-rank representation. The
GAMM separates the SERRS signal into three components: a sequence of
Lorentzian, Gaussian, or pseudo-Voigt peaks; a smoothly-varying
baseline; and additive white noise. The parameters of each component of
the model are estimated iteratively using SMC. The posterior
distributions of the parameters given the observed spectra are
represented as a population of weighted particles.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.6/x86_64 |
