FuzzyNumbers.Ext.2, matrixcalc, Rcpp, Rdpack, Ryacas0, stats

It offers random numbers generation from members of the truncated multivariate elliptical family of distribution such as the truncated versions of the Normal, Student-t, Pearson VII, Slash, Logistic, among others. Particular distributions can be provided by specifying the density generating function. It also computes the first two moments (covariance matrix as well) for some particular distributions.
References used for this package: Galarza, C. E., Matos, L. A., Castro, L. M., & Lachos, V. H. (2022). Moments of the doubly truncated selection elliptical distributions with emphasis on the unified multivariate skew-t distribution. Journal of Multivariate Analysis, 189, 104944 <doi:10.1016/j.jmva.2021.104944>; Ho, H. J., Lin, T. I., Chen, H. Y., & Wang, W. L. (2012). Some results on the truncated multivariate t distribution. Journal of Statistical Planning and Inference, 142(1), 25-40 <doi:10.1016/j.jspi.2011.06.006>; Valeriano, K. A., Galarza, C. E., & Matos, L. A. (2021). Moments and random number generation for the truncated elliptical family of distributions. arXiv preprint <arXiv:2112.09319>.
FuzzyNumbers.Ext.2, matrixcalc, methods, Rcpp, Rdpack,
Ryacas0, stats

Various functions for
regression in relative survival.

Various functions for regression in relative survival.

Various functions for relative survival analysis.

c(person(c("Maja","Pohar","Perme"),role=c("aut","cre"),email="maja.pohar@mf.uni-lj.si"),person("Klemen", "Pavlic", role = "ctb",
email = "klemen.pavlic@mf.uni-lj.si"))
Maja Pohar Perme [aut, cre],  Klemen Pavlic [ctb]

Maja Pohar Perme [aut, cre],
Klemen Pavlic [ctb]
Various functions for relative survival analysis: regression and non-parametric estimators. See Pohar Perme et al (2016), <doi: 10.1186/s12885-016-2967-9> and Pohar et al (2006), <doi: 10.1016/j.cmpb.2006.01.004>.

Contains functions for analysing relative survival data, including nonparametric estimators of net (marginal relative) survival, relative survival ratio, crude mortality, methods for fitting  and checking additive and multiplicative regression models, transformation approach, methods for dealing with population mortality tables.