# 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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## Last month downloads

## 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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