In Switzerland, the landscape of municipalities is changing rapidly
  mainly due to mergers. The Swiss Municipal Data Merger Tool 
  automatically detects these mutations and maps municipalities over time, i.e. municipalities of an old state
  to municipalities of a new state. This functionality is helpful when working 
  with datasets that are based on different spatial references. The package's idea and use 
  case is discussed in the following article: <doi:10.1111/spsr.12487>.

Fit univariate right, left or interval censored regression model under the scale mixture of normal distributions.

Bayesian analysis of censored linear mixed-effects models that replace Gaussian assumptions with a flexible class of distributions, such as the scale mixture of normal family distributions, considering a damped exponential correlation structure which was employed to account for within-subject autocorrelation among irregularly observed measures. For more details, see Kelin Zhong, Fernanda L. Schumacher, Luis M. Castro, Victor H. Lachos (2025) <doi:10.1002/sim.10295>.

Starting from a given object representing a fitted model
  (within a certain set of model classes) whose (non-)linear predictor
  includes some ordered factor(s) among the explanatory variables, a new
  model is constructed and fitted where each named factor is replaced by a
  single numeric score, suitably chosen so that the new variable produces a
  fit comparable with the standard methodology based on a set of polynomial
  contrasts. Two variants of the present approach have been developed, one in
  each of the next references: Azzalini (2023) <doi:10.1002/sta4.624>, (2024)
  <doi:10.48550/arXiv.2406.15933>.

Bio-Layer Interferometry (BLI) is a technology to determine the binding kinetics between biomolecules. BLI signals are small and noisy when small molecules are investigated as ligands (analytes). We develop this package to process and analyze the BLI data acquired on Octet Red96 from Fortebio more accurately. 
    Sun Q., Li X., et al (2020) <doi:10.1038/s41467-019-14238-3>. 
    In this new version, we organize the BLI experiment data and analysis methods into a S4 class with self-explaining structure.