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spass (version 1.2)
Study Planning and Adaptation of Sample Size
Description
Sample size estimation and blinded sample size reestimation in Adaptive Study Design.
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Install
install.packages('spass')
Monthly Downloads
147
Version
1.2
License
GPL
Maintainer
Marius Placzek
Last Published
July 12th, 2018
Functions in spass (1.2)
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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)