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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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Version

Install

install.packages('spass')

Monthly Downloads

126

Version

1.2

License

GPL

Maintainer

Marius Placzek

Last Published

July 12th, 2018

Functions in spass (1.2)

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)