Package: FamEvent
Type: Package
Title: Family Age-at-Onset Data Simulation and Penetrance Estimation
Version: 3.0
Date: 2022-11-16
Author: Yun-Hee Choi, Karen Kopciuk, Wenqing He, Laurent Briollais
Maintainer: Yun-Hee Choi <yun-hee.choi@schulich.uwo.ca>
Description: Simulates age-at-onset traits associated with a segregating major gene in family data
obtained from population-based, clinic-based, or multi-stage designs. Appropriate ascertainment
correction is utilized to estimate age-dependent penetrance functions either parametrically from
the fitted model or nonparametrically from the data. The Expectation and Maximization algorithm
can infer missing genotypes and carrier probabilities estimated from family's genotype and
phenotype information or from a fitted model. Plot functions include pedigrees of simulated
families and predicted penetrance curves based on specified parameter values.
For more information see Choi, Y.-H., Briollais, L., He, W. and Kopciuk, K. (2021) FamEvent: An
R Package for Generating and Modeling Time-to-Event Data in Family Designs,
Journal of Statistical Software 97 (7), 1-30.
License: GPL (>= 2.0)
NeedsCompilation: no
LazyData: true
Depends: R (>= 3.3.0), survival
Imports: MASS, kinship2, truncnorm, eha, pracma, cmprsk
Repository: CRAN
Packaged: 2022-11-16 23:17:17 UTC; yun-heechoi
Date/Publication: 2022-11-17 13:00:02 UTC

Title: Probabilities for Pedigrees given DNA data
Description: This package represents a bare-bones implementation of an
interface to the core Familias functions (www.familias.name),
which are programmed in C++.  The package itself functions as a
kind of database, where information about persons, pedigrees,
allele systems and observations for persons are entered
stepwise. In the end, probability calculations are made.

This package represents an interface to the core Familias functions (www.familias.name),
which are programmed in C++. The interface is completely changed from version 1.2 of this
package, so programs dependent on the old functions should continue to use that version.