Package: tboot 0.2.0

Nathan Morris

tboot: Tilted Bootstrap

The tilted bootstrap as implemented in the 'tboot' package is an approach to resampling where samples are drawn from the observed data with some samples appearing more frequently than others. Tilted bootstraping may be used to create simulated clinical trail data with realistic correlation structures and assumed efficacy levels. The 'tboot' package may also be used for simulating a joint Bayesian distribution along along with clinical trials based on the Bayesian distribution.

Authors:Nathan Morris [aut, cre], William Michael Landau [aut], Eli Lilly and Company [cph]

tboot_0.2.0.tar.gz
tboot_0.2.0.zip(r-4.7-any)tboot_0.2.0.zip(r-4.6-any)tboot_0.2.0.zip(r-4.5-any)
tboot_0.2.0.tgz(r-4.6-any)tboot_0.2.0.tgz(r-4.5-any)
tboot_0.2.0.tar.gz(r-4.7-any)tboot_0.2.0.tar.gz(r-4.6-any)
tboot_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
tboot/json (API)

# Install 'tboot' in R:
install.packages('tboot', repos = c('https://njm18.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/nmorris-lilly/tboot/issues

On CRAN:

Conda:

4.98 score 1 stars 12 scripts 253 downloads 5 exports 2 dependencies

Last updated from:407c9a13c8. Checks:2 ERROR, 7 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develERROR142
source / vignettesOK335
linux-releaseERROR181
macos-releaseOK209
macos-oldrelOK236
windows-develOK139
windows-releaseOK164
windows-oldrelOK136
wasm-releaseOK90

Exports:post_bmrtboottboot_bmrtweightstweights_bmr

Dependencies:kernlabquadprog

Bayesian Marginal Reconstruction Simulations
Introduction | The Example Scenario and Simulated Datasets | The Posterior from BMR and Full Bayesian Analysis are Similar | Trial Design Simulation Results
Rendered fromtboot_bmr_vs_joint_bayes.Rmdusingknitr::rmarkdown

Last update: 2020-07-16
Started: 2020-07-16

Exponential Tilting Simulations
Introduction | Simulations | Simulation 1: exponential family density | Simulation 2: Gaussian Mixture | Simulation 3: Multivariate Gaussian with some of the means being fixed | References
Rendered fromexp_tilting.Rmdusingknitr::rmarkdown

Last update: 2020-07-16
Started: 2020-07-16

Gettings Started with Bayesian Marginal Reconstruction
Bayesian Marginal Reconstruction | A simulated example dataset | Example | Methods | The algorythm | Justifying the algorithm | Considering the limits of 'tboot_bmr'
Rendered fromtboot_bmr.Rmdusingknitr::rmarkdown

Last update: 2020-07-16
Started: 2020-07-16

Getting Started with the Tilted Bootstrap
Tilted Bootstrap | A simulated example dataset | Example 1: Constraining the mean for all variables in the data | Example 2: Constraining the mean for a subset of the variables | Example 3: Constraining the mean and variance for a variable | Methodology | Stating the optimization problem | Solving the optimization problem | Problems encountered for some data | Not full rank | Constraint not achievable | Unable to find an optimum | Some samples have a very high weight | Augmented Sampling to Improved Stability | Bibliography
Rendered fromtboot.Rmdusingknitr::rmarkdown

Last update: 2020-07-16
Started: 2020-07-16