Description Usage Arguments References
Fit the model with Voigt peaks using iterated batch importance sampling (IBIS).
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wl 
Vector of 
spc 

n 
index of the new observation 
lResult 
List of results from the previous call to “fitVoigtPeaksSMC“ or “fitVoigtIBIS“ 
conc 
Vector of 
batch 
identifies to which batch each observation belongs 
npart 
number of SMC particles to use for the importance sampling distribution. 
rate 
the target rate of reduction in the effective sample size (ESS). 
mcAR 
target acceptance rate for the MCMC kernel 
mcSteps 
number of iterations of the MCMC kernel 
minESS 
minimum effective sample size, below which the particles are resampled. 
minPart 
target number of unique particles for the MCMC iterations 
destDir 
destination directory to save intermediate results (for longrunning computations) 
Chopin (2002) "A Sequential Particle Filter Method for Static Models," Biometrika 89(3): 539–551, doi: 10.1093/biomet/89.3.539
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