Other packages > Find by keyword >

serrsBayes  

Bayesian Modelling of Raman Spectroscopy
View on CRAN: Click here


Download and install serrsBayes package within the R console
Install from CRAN:
install.packages("serrsBayes")

Install from Github:
library("remotes")
install_github("cran/serrsBayes")

Install by package version:
library("remotes")
install_version("serrsBayes", "0.5-0")



Attach the package and use:
library("serrsBayes")
Maintained by
Matt Moores
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-02-14
Latest Update: 2021-06-28
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) . 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.
How to cite:
Matt Moores (2018). serrsBayes: Bayesian Modelling of Raman Spectroscopy. R package version 0.5-0, https://cran.r-project.org/web/packages/serrsBayes. Accessed 26 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:03), 0.3-10 (2018-02-14 19:46), 0.3-11 (2018-02-16 00:08), 0.3-12 (2018-02-18 21:44), 0.3-13 (2018-06-05 13:48), 0.4-0 (2019-04-29 13:30), 0.4-1 (2020-02-05 13:40), 0.4-2 (2021-06-07 08:10)
Other packages that cited serrsBayes R package
View serrsBayes citation profile
Other R packages that serrsBayes depends, imports, suggests or enhances
Complete documentation for serrsBayes
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

ncodeR  
Techniques for Automated Classifiers
A set of techniques that can be used to develop, validate, and implement automated classifiers. A po ...
Download / Learn more Package Citations See dependency  
SelvarMix  
Regularization for Variable Selection in Model-Based Clustering and Discriminant Analysis
Performs a regularization approach to variable selection in themodel-based clustering and classifica ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
RCytoGPS  
Using Cytogenetics Data in R
Defines classes and methods to process text-based cytogenetics using the CytoGPS web site, then imp ...
Download / Learn more Package Citations See dependency  
clinUtils  
General Utility Functions for Analysis of Clinical Data
Utility functions to facilitate the import, the reporting and analysis of clinical data. Example ...
Download / Learn more Package Citations See dependency  
PCADSC  
Tools for Principal Component Analysis-Based Data Structure Comparisons
A suite of non-parametric, visual tools for assessing differences in data structures for two datase ...
Download / Learn more Package Citations See dependency  

28,332

R Packages

239,283

Dependencies

75,113

Author Associations

28,333

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA