Title: Estimation in adaptive group sequential trials
Description: Estimation in adaptive group sequential trials
Packaged: 2009-10-08 17:30:15 UTC; admin-niklas

Author: Niklas Hack, Werner Brannath, Matthias Brueckner

Title: Estimation in Adaptive Group Sequential Trials
Description: Calculation of repeated confidence intervals as well as confidence
intervals based on the stage-wise ordering in group sequential designs and
adaptive group sequential designs. For adaptive group sequential designs
the confidence intervals are based on the conditional rejection probability
principle. Currently the procedures do not support the use of futility
boundaries or more than one adaptive interim analysis.

Imports: stats, graphics, grDevices, ldbounds

Author: Niklas Hack [aut, cre], Werner Brannath [aut], Matthias Brueckner [aut]

Title: Read Data Files from ActiGraph Monitors
person(c("Paul", "R."), "Hibbing", email = "paulhibbing@gmail.com",
person(c("Vincent", "T."), "van Hees", role = "ctb"))
Description: Standardize the process of bringing various modes of output
files into R. For more information, see:
Additionally, processes are provided to read and minimally pre-process
raw data from primary accelerometer and inertial measurement unit files.
ActiGraph monitors are used to estimate physical activity outcomes via
body-worn sensors that measure (e.g.) acceleration or rotational velocity.
Maintainer: Paul R. Hibbing <paulhibbing@gmail.com>

person(c("Vincent", "T."), "van Hees", role = "ctb"),
person(c("Samuel", "R."), "LaMunion", role = "ctb"))
Description: Standardize the process of bringing various modes of output files
Additionally, processes are provided to read and minimally pre-
process raw data from primary accelerometer and inertial measurement unit files,
as well as binary .gt3x files. ActiGraph monitors are used to estimate physical
activity outcomes via body-worn sensors that measure (e.g.) acceleration or
Imports: anytime (>= 0.3.0), binaryLogic (>= 0.3.9), data.table (>=
rlang (>= 0.2.0), seewave (>= 2.0.5), stats, stringr (>=