spass v1.2

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Study Planning and Adaptation of Sample Size

Sample size estimation and blinded sample size reestimation in Adaptive Study Design.

Functions in spass

Name Description
sandwich2 Generate Time Series with Negative Binomial Distribution and Autoregressive Correlation Structure of Order One: NB-INAR(1)
sim.bssr.gee.1subgroup Simulation of a longitudinal one subgroup design with internal pilot Study
sim.bssr.1subgroup Simulation of a One Subgroup Design with Internal Pilot Study
summary.bssrest Summarizing Blinded Sample Size Reestimation
get.groups Generate Time Series with Negative Binomial Distribution and Multivariate Gamma Frailty with Autoregressive Correlation Structure of Order One with Trend
n.1subgroup Sample Size Calculation for a One Subgroup Design
n.gee.1subgroup Sample Size estimation for longitudinal GEE models
n.nb.gf Sample Size Calculation for Comparing Two Groups when observing Longitudinal Count Data with marginal Negative Binomial Distribution and underlying Gamma Frailty with Autoregressive Correlation Structure of Order One
test.nb.inar1 Testing Hypotheses in NB-INAR(1) model
bssr.1subgroup Blinded Sample Size Recalculation for a One Subgroup Design
n.nb.inar1 Sample Size Calculation for Comparing Two Groups when observing Longitudinal Count Data with marginal Negative Binomial Distribution and Autoregressive Correlation Structure of Order One: NB-INAR(1)
r.1subgroup Generate dataset of normal distributed observations in a one subgroup design
bssr.nb.gf Blinded Sample Size Reestimation for Longitudinal Count Data with marginal Negative Binomial Distribution and underlying Gamma Frailty with Autoregressive Correlation Structure of Order One
bssr.nb.inar1 Blinded Sample Size Reestimation for Longitudinal Count Data using the NB-INAR(1) Model
bssr.gee.1subgroup Blinded Sample Size Recalculation for longitudinal data in a One Subgroup Design
r.gee.1subgroup Generate dataset of normal distributed repeated observations in a one subgroup design
rnbinom.gf Generate Time Series with Negative Binomial Distribution and Multivariate Gamma Frailty with Autoregressive Correlation Structure of Order One
summary.ssest Summarizing Initial Sample Size Estimates
test.nb.gf Testing Hypotheses in Gamma Frailty models
estimcov Estimation of simulation parameters
fit.nb.inar1 Fitting Longitudinal Data with Negative Binomial Marginal Distribution and Autoregressive Correlation Structure of Order One: NB-INAR(1)
gen_cov_cor Generation of a covariance or a correlation matrix
fit.nb.gf Fitting Longitudinal Data from a Gamma Frailty Model with Frailty of Autoregressive Correlation Structure of Order One
sandwich Calculate the robust covariance estimator for GEE given an
rnbinom.inar1 Generate Time Series with Negative Binomial Distribution and Autoregressive Correlation Structure of Order One: NB-INAR(1)
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Details

Type Package
Date 2018-07-12
License GPL
Encoding UTF-8
LazyData true
LinkingTo Rcpp
RoxygenNote 6.0.1
NeedsCompilation yes
Packaged 2018-07-12 13:48:52 UTC; mplacze
Repository CRAN
Date/Publication 2018-07-12 14:20:03 UTC

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