sample_size(): corrected dropout adjustment from
approximate formula n * (1 + dropout) to exact formula
n / (1 - dropout), preventing underpowered enrollment at
higher dropout rates.normality() and summary_table()
functions. The Lilliefors test provides more accurate p-values when
distribution parameters are estimated from sample data.nortest package to Imports
Need a high-speed mirror for your open-source project?
Contact our mirror admin team at info@clientvps.com.
This archive is provided as a free public service to the community.
Proudly supported by infrastructure from VPSPulse , RxServers , BuyNumber , UnitVPS , OffshoreName and secure payment technology by ArionPay.