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.

Efficient R interface to the Cancer Intervention and Surveillance
    Modeling Network (CISNET) Smoking History Generator microsimulation
    engine, which synthesizes individual smoking histories
    (initiation, cessation, intensity) and ages at death from calibrated
    initiation, cessation, cigarettes-per-day, and mortality tables. The
    wrapper exposes fixed-cohort and population data-frame simulation,
    multi-threaded segmentation, reproducible pseudo-random streams
    (L'Ecuyer RngStream MRG32k3a or Matsumoto--Nishimura Mersenne Twister),
    legacy CLI-style configuration files, and portable YAML configuration
    save/load with optional split smoking and mortality parameter bundles.
    Methods follow Jeon et al. (2012) <doi:10.1111/j.1539-6924.2011.01775.x>.
    Random number generators: Matsumoto and Nishimura (1998)
    <doi:10.1145/272991.272995>; L'Ecuyer (1999) <doi:10.1287/opre.47.1.159>;
    L'Ecuyer et al. (2002) <doi:10.1287/opre.50.6.1073.358>.