Package: pbo 1.3.5

Matt Barry

pbo: Probability of Backtest Overfitting

Following the method of Bailey et al., computes for a collection of candidate models the probability of backtest overfitting, the performance degradation and probability of loss, and the stochastic dominance.

Authors:Matt Barry [aut, cre]

pbo_1.3.5.tar.gz
pbo_1.3.5.zip(r-4.5)pbo_1.3.5.zip(r-4.4)pbo_1.3.5.zip(r-4.3)
pbo_1.3.5.tgz(r-4.4-any)pbo_1.3.5.tgz(r-4.3-any)
pbo_1.3.5.tar.gz(r-4.5-noble)pbo_1.3.5.tar.gz(r-4.4-noble)
pbo_1.3.5.tgz(r-4.4-emscripten)pbo_1.3.5.tgz(r-4.3-emscripten)
pbo.pdf |pbo.html
pbo/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/mrbcuda/pbo/issues

On CRAN:

1 exports 47 stars 3.01 score 13 dependencies 8 scripts 238 downloads

Last updated 2 years agofrom:b132dda7b2. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 10 2024
R-4.5-winNOTESep 10 2024
R-4.5-linuxNOTESep 10 2024
R-4.4-winNOTESep 10 2024
R-4.4-macNOTESep 10 2024
R-4.3-winNOTESep 10 2024
R-4.3-macNOTESep 10 2024

Exports:pbo

Dependencies:codetoolsdeldirforeachinterpiteratorsjpeglatticelatticeExtraMASSpngRColorBrewerRcppRcppEigen

Using the PBO package

Rendered frompbo.Rmdusingknitr::knitron Sep 10 2024.

Last update: 2022-05-26
Started: 2014-05-23