Family Age-at-Onset Data Simulation and Penetrance Estimation
Compute mutation carrier probabilities for individuals with missing ge...
Family age-at-onset data simulation and penetrance estimation
Simulation-based power calculation for genetic effect
Estimating Penetrances for competing risk models and confidence interv...
Generate familial competing risks data
Generate familial time-to-event data with a time-varying covariate
Generate familial time-to-event data
Generate familial time-to-event data with Kinship or IBD matrices.
Penetrance function and confidence intervals
Fit a penetrance model for competing risks data
Fit a penetrance model
EM algorithm for estimating the penetrance model with missing genotype...
Plot penetrance functions from competing risk models
Plot penetrance functions
Plot method for penmodel_cmp
Plot method for penmodel
Plot method for simfam_cmp or Plot pedigrees
Plot method for simfam_tvc or Plot pedigrees
Plot method for simfam or Plot pedigrees
Plot method for simfam2 or Plot pedigrees
Print method for penmodel_cmp.
Print method for penmodel.
Print method for summary.penmodel_cmp of a fitted competing risks pe...
Print method for summary.penmodel of a fitted penetrance model.
Summary method for class penmodel_cmp
Summary method for class penmodel
Summary method for simfam_cmp
Summary method for simfam_tvc
Summary method for simfam
Summary method for simfam2
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.