Implementation of the Stochastic Expectation Maximisation (StEM) approach to Record Linkage described in the paper by K. Robach, S. L. van der Pas, M. A. van de Wiel and M. H. Hof (2024, <doi:10.1093/jrsssc/qlaf016>); see citation("FlexRL") for details. This is a record linkage method, for finding the common set of records among 2 data sources based on Partially Identifying Variables (PIVs) available in both sources. It includes modelling of dynamic Partially Identifying Variables (e.g. postal code) that may evolve over time and registration errors (missing values and mistakes in the registration). Low memory footprint.

Package for parametric relative survival analyses. It allows to model non-linear and 
        non-proportional effects and both non proportional and non linear effects, using splines (B-spline and truncated power basis), Weighted Cumulative Index of Exposure effect, with correction model for 
        the life table. Both non proportional and non linear effects are described in 
			Remontet, L. et al. (2007) <doi:10.1002/sim.2656> and 
			Mahboubi, A. et al. (2011) <doi:10.1002/sim.4208>.

An easy way to conduct flexible scan.
    Monte-Carlo method is used to test the spatial clusters given the cases, population, and shapefile.
    A table with formal style and a map with clusters are included in the result report.
    The method can be referenced at: Toshiro Tango and Kunihiko Takahashi (2005) <doi:10.1186/1476-072X-4-11>.

A drop-in replacement for 'flexdashboard' 'Rmd' documents, which
  implements an after-knit-hook to split the generated single page application
  in one document per main section to reduce rendering load in the web browser
  displaying the document. Put all 'JavaScript' stuff needed in all sections 
  before the first headline featuring navigation menu attributes. This package 
  is experimental and maybe replaced by a solution inside 'flexdashboard'.

Gives a 'Stan'-based R package one interface for fitting its
    models through either 'rstan' or (optionally) 'cmdstanr'. Collects and
    validates sampler options, guarding against mixing one backend's argument
    vocabulary into the other, dispatches the fit to the chosen backend, and
    exposes backend-agnostic accessors for reading posterior draws, extracting
    parameters, and running generated quantities. The host package supplies its
    own compiled models; flexstanr resolves them from the calling package at run
    time, so the same code works whichever backend is installed.