Title: Utility Sparse Matrix Functions for Quantitative Language
Description: Extension of the functionality of the Matrix package for using sparse matrices. Some of the functions are very general, while other are highly specific for special data format as used for quantitative language comparison (QLC).

Title: Visualization for Quantitative Language Comparison (QLC)
Description: Collection of visualizations as used in quantitative language comparison.
Imports: fields, MASS, qlcMatrix, seriation, spatstat, raster, maps,
mapdata, maptools, mapplots, methods, sp, alphahull

Description: 'QuantLib' bindings are provided for R using 'Rcpp' via an evolved version
of the initial header-only 'Quantuccia' project offering an subset of 'QuantLib' (now
maintained separately just for the calendaring subset). See the included file 'AUTHORS'
for a full list of contributors to 'QuantLib' (and hence also 'Quantuccia').

Authors@R: c(person("Markus", "Baaske", role = c("aut", "cre", "cph"),
person("K. Gerald", "van den Boogaart", role = c("ths"),
Author: Markus Baaske [aut, cre, cph], K. Gerald van den Boogaart [ths]
Description: A simulation-based quasi-likelihood method (Baaske, M. (2014) <doi:10.5566/ias.v33.p107-119>) for parameter estimation of parametric statistical models for which closed-form representations of distributional characteristics are unavailable and can only be obtained by computationally intensive simulations of the model.
Imports: nloptr, digest, expm, lhs, mvtnorm

Description: A simulation-based quasi-likelihood method (Baaske, M., Ballani, F., v.d. Boogaart, K.G. (2014) <doi:10.5566/ias.v33.p107-119>) for parameter estimation of parametric statistical models for which closed-form representations of distributional characteristics are unavailable and can only be obtained by computationally intensive simulations of the model.

Title: Managing and Building of Quarterly Life Tables
Description: Manages, builds and computes statistics and datasets for the
construction of quarterly (sub-annual) life tables by exploiting micro-data from
either a general or an insured population.
Packaged: 2022-09-22 14:44:01 UTC; Jose M Pavia