The package supports efficient simulation-based power and sample size
calculations for a broad class of late-stage clinical trials. The following modules are included in the package:
Adaptive designs with data-driven sample size or event count re-estimation,
Adaptive designs with data-driven treatment selection,
Adaptive designs with data-driven population selection,
Optimal selection of a futility stopping rule,
Event prediction in event-driven trials,
Adaptive trials with response-adaptive randomization (experimental module),
Traditional trials with multiple objectives (experimental module).
Traditional trials with cluster-randomized designs (experimental module).

Accessing and Processing a 'Mega2' Genetic Database
Uses as input genetic data that have been reformatted
and stored in a 'SQLite' database; this database is initially
created by the standalone 'mega2' C++ program (available freely
from <https://watson.hgen.pitt.edu/register/>). Loads and
manipulates data frames containing genotype, phenotype, and family
information from the input 'SQLite' database, and decompresses
needed subsets of the genotype data, on the fly, in a memory
efficient manner.  We have also created several more functions that
illustrate how to use the data frames as well as perform useful
tasks: these permit one to run the 'pedgene' package to carry out
gene-based association tests on family data using selected marker
subsets, to run the 'SKAT' package to carry out gene-based
association tests using selected marker subsets, to output the
'Mega2R' data as a VCF file and related files (for phenotype and
family data), and to convert the data frames into 'GenABEL'
gwaa.data-class objects.
c(person(c("Robert","V."), "Baron", email = "rvb5@pitt.edu",  role = c("aut")),
person(c("Daniel","E."), "Weeks",    email = "weeks@pitt.edu", role = c("aut","cre")),
person("","University of Pittsburgh",role=c("cph")))
AnnotationDbi, DBI, GenomeInfoDb, RSQLite, methods
knitr, rmarkdown, formatR, TxDb.Hsapiens.UCSC.hg19.knownGene,
org.Hs.eg.db
Robert V. Baron [aut],
Daniel E. Weeks [aut, cre],
University of Pittsburgh [cph]