Package: spass 1.3

Marius Placzek

spass: Study Planning and Adaptation of Sample Size

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

Authors:T. Asendorf, R. Gera, S. Islam, M. Harden and M. Placzek

spass_1.3.tar.gz
spass_1.3.tar.gz(r-4.5-noble)spass_1.3.tar.gz(r-4.4-noble)
spass_1.3.tgz(r-4.4-emscripten)spass_1.3.tgz(r-4.3-emscripten)
spass.pdf |spass.html✨
spass/json (API)

# Install 'spass' in R:
install.packages('spass', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

1.30 score 122 downloads 2 mentions 23 exports 35 dependencies

Last updated 4 years agofrom:e678083f99. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 10 2024
R-4.5-linux-x86_64OKDec 10 2024

Exports:bssr.1subgroupbssr.gee.1subgroupbssr.nb.gfbssr.nb.inar1estimcovfit.nb.gffit.nb.inar1gen_cov_corget.groupsn.1subgroupn.gee.1subgroupn.nb.gfn.nb.inar1r.1subgroupr.gee.1subgrouprnbinom.gfrnbinom.inar1sandwichsandwich2sim.bssr.1subgroupsim.bssr.gee.1subgrouptest.nb.gftest.nb.inar1

Dependencies:backportsbroomclicodetoolscpp11dplyrfansigeepackgenericsgluelatticelifecyclemagrittrMASSMatrixmultcompmvtnormpillarpkgconfigpurrrR6RcpprlangsandwichstringistringrsurvivalTH.datatibbletidyrtidyselectutf8vctrswithrzoo

Readme and manuals

Help Manual

Help pageTopics
Blinded Sample Size Recalculation for a One Subgroup Designbssr.1subgroup
Blinded Sample Size Recalculation for longitudinal data in a One Subgroup Designbssr.gee.1subgroup
Blinded Sample Size Reestimation for Longitudinal Count Data with marginal Negative Binomial Distribution and underlying Gamma Frailty with Autoregressive Correlation Structure of Order Onebssr.nb.gf
Blinded Sample Size Reestimation for Longitudinal Count Data using the NB-INAR(1) Modelbssr.nb.inar1
Estimation of simulation parametersestimcov
Fitting Longitudinal Data from a Gamma Frailty Model with Frailty of Autoregressive Correlation Structure of Order Onefit.nb.gf
Fitting Longitudinal Data with Negative Binomial Marginal Distribution and Autoregressive Correlation Structure of Order One: NB-INAR(1)fit.nb.inar1
Generation of a covariance or a correlation matrixgen_cov_cor
Generate Time Series with Negative Binomial Distribution and Multivariate Gamma Frailty with Autoregressive Correlation Structure of Order One with Trendget.groups
Sample Size Calculation for a One Subgroup Designn.1subgroup
Sample Size estimation for longitudinal GEE modelsn.gee.1subgroup
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 Onen.nb.gf
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)n.nb.inar1
Generate dataset of normal distributed observations in a one subgroup designr.1subgroup
Generate dataset of normal distributed repeated observations in a one subgroup designr.gee.1subgroup
Generate Time Series with Negative Binomial Distribution and Multivariate Gamma Frailty with Autoregressive Correlation Structure of Order Onernbinom.gf
Generate Time Series with Negative Binomial Distribution and Autoregressive Correlation Structure of Order One: NB-INAR(1)rnbinom.inar1
Calculate the robust covariance estimator for GEE given ansandwich
Generate Time Series with Negative Binomial Distribution and Autoregressive Correlation Structure of Order One: NB-INAR(1)sandwich2
Simulation of a One Subgroup Design with Internal Pilot Studysim.bssr.1subgroup
Simulation of a longitudinal one subgroup design with internal pilot Studysim.bssr.gee.1subgroup
Summarizing Blinded Sample Size Reestimationsummary.bssrest
Summarizing Initial Sample Size Estimatessummary.ssest
Testing Hypotheses in Gamma Frailty modelstest.nb.gf
Testing Hypotheses in NB-INAR(1) modeltest.nb.inar1