Suggests: lattice, HiddenMarkov, snow, rstream
Description: Functions to analyze neuronal spike trains from a single neuron or from several neurons recorded simultaneously.
Packaged: Mon Sep  8 16:03:47 2008; xtof

Packaged: Wed Dec 31 14:09:47 2008; xtof

Description: Functions to analyze neuronal spike trains from a single
neuron or from several neurons recorded simultaneously.

Depends: survival, mgcv, R2HTML, gss, codetools

Depends: R (>= 2.10), survival, mgcv, R2HTML, gss, codetools

Title: Secondary Trait Association analysis for Rare variants via
Description: STARSEQ is an R-package for detecting associations with
rare variants using selected samples in sequence-based
association studies. It corrects for the bias in the secondary
trait distribution induced by selective sampling on the primary
trait. The corrected secondary trait can be analyzed by
standard rare variant tests. In the STARSEQ package, several
popular rare variant tests were implemented, which include 1.)
combined multivariate and collapsing 2.) weighted sum
statistics, 3.) kernel based adaptive cluster, 4.) variable
threshold test 5.) sequence kernel association test.

Author: Alexander Robitzsch [aut,cre], Oliver Luedtke [aut]
Contains functions for estimating the STARTS model of

Imports: CDM, LAM, sirt (>= 2.0), stats, utils

Imports: CDM (>= 6.0), graphics, LAM, sirt (>= 2.3), stats, utils

estimation and Markov Chain Monte Carlo estimation are
also provided, see Luedtke, Robitzsch and Wagner (2017)
Imports: CDM (>= 6.0), graphics, LAM (>= 0.2-4), sirt (>= 2.3), stats,

Imports: CDM (>= 6.0), graphics, LAM (>= 0.3-27), sirt (>= 2.3), stats,

also provided, see Luedtke, Robitzsch and Wagner (2018)

Title: Single to Double Arm Transition Design for Phase II Clinical
Description: The package is used for calibrating the design parameters for single-to-double arm transition design proposed by Shi and Yin (2017). The calibration is performed via numerical enumeration to find the optimal design that satisfies the constraints on the type I and II error rates.