Nothing

- Zero MCMC iterations will be performed if the number of unique particles is already >= minPart (adaptive number of MCMC steps)
- Replaced the default uniform prior distribution for the peak amplitudes with an exponential prior

- Merged pull request from Rcpp team to use constant M_PI instead of PI to support STRICT_R_HEADERS
- Fixed issue with plots in Introduction vignette
- Fixed broken link to EPSRC grants website (now uses UKRI Gateway to Research)
- Added package Hmisc to suggests to fix Undeclared package in Rd xrefs NOTE on CRAN
- Try-catch when computing Cholesky decomposition of the Gaussian random walk variance-covariance matrix (fallback to diagonal matrix by default)
- Removed Travis CI from README, since builds have ceased on June 15, 2021

- MCMC iterations will stop when temp ESS reaches the total number of particles (adaptive number of MCMC steps)
- Added DOI from Zenodo to CITATION file.

- Fixed issue with digits = 0 in vignettes (CRAN WARN)
- Removed obsolete call to
`Rcpp::LdFlags()`

from Makevars.win - Added fallback to boost MCMC acceptance rate if it falls below 15% of proposals
- Regenerated the datasets result.rda & result2.rda to adjust for the new way of calculating FWHM

- Added example of
`fitSpectraSMC`

with informative priors to the methanol vignette.

- Removed the R package
`hyperSpec`

from Suggests because it is no longer available on CRAN. - Fixed dependency on
`hyperSpec`

in Introduction vignette due to new CRAN check. This also affects the`TAMRA`

dataset. - Fixed a rare bug in reweighting that could potentially result in an infinite loop.
- Peak locations are now constrained to lie within the range of observed wavelengths.
- Locations are sorted to preserve identifiability.
- Fixed error in equations for FWHM in
`mixedVoigt`

&`getVoigtParam`

as well as in both vignettes.

- OpenMP implementation of mhUpdateVoigt provides around 3x improvement in elapsed runtime
- New vignette illustrates when to use the 3 functions
`fitSpectraMCMC`

,`fitSpectraSMC`

, and`fitVoigtPeaksSMC`

- New datasets
`methanol`

and`TAMRA`

for use in the vignettes - Debug output prints the means of the amplitudes of the peaks at each SMC iteration

- Fixed bug in
`fitVoigtPeaksSMC`

where it was using the upper-triangular instead of lower-triangular Cholesky factorisation to generate random-walk Metropolis proposals - Introduction vignette no longer attempts to download a .zip file over HTTPS
- Deleted unused Rcpp function randomWalkVoigt

- changed maintainer email address due to new academic affiliation
- hex sticker in README

- Vignette with example for tetramethylrhodamine (TAMRA)
- pkgdown website https://mooresm.github.io/serrsBayes/

- Fixed compile errors on Solaris

- First version released on CRAN

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