Title: Probabilities for Pedigrees Given DNA Data
Depends: R (>= 1.8.0), kinship2, paramlink
An interface to the core Familias functions (www.familias.name),

Author: Petter Mostad, Thore Egeland, Ivar Simonsson
Depends: R (>= 1.8.0), kinship2, paramlink, Rsolnp

Title: Kinship Ties in Virtual Populations
Authors@R: person("Frans", "Willekens", , "willekens@nidi.nl", role = c("aut", "cre"),
Description: Tools to study kinship networks, grandparenthood, and double burden (presence of children and oldest old parents) in virtual population produced by 'VirtualPop'.
Author: Frans Willekens [aut, cre] (<https://orcid.org/0000-0001-6125-0212>)

Title: Algorithm for Ranking Predictors Using Graphical Domain
Description: Grows families of features by selecting features that maximize a weighted score calculated from empirical feature scores and graphical knowledge. The final weighted score for a feature is determined by summing a feature's family-weighted scores across all families in which the feature appears.

Title: Factor Adjusted Robust Model Selection
Authors@R: c(person("Koushiki", "Bose", email = "bose@princeton.edu", role = c("aut", "cre")), person("Yuan", "Ke", email = "keyuan_princeton@163.com", role = "aut"),person("Kaizheng", "Wang", email = "kzwang2015@gmail.com", role = "aut"))
Description: Implements a consistent model selection strategy for high dimensional sparse regression when the covariate dependence can be reduced through factor models. By separating the latent factors from idiosyncratic components, the problem is transformed from model selection with highly correlated covariates to that with weakly correlated variables. It is appropriate for cases where we have many variables compared to the number of samples. Moreover, it implements a robust procedure to estimate distribution parameters wherever possible, hence being suitable for cases when the underlying distribution deviates from Gaussianity. See the paper on the 'FarmSelect' method, Fan et al.(2017) <arXiv:1612.08490>, for detailed description of methods and further references.
Imports: graphics, stats, grDevices, utils, methods, Rcpp, glmnet,