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) | |
| No Results! | ||
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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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