Package: coxstream 0.1.0

Tommy Carstensen

coxstream: Memory-Efficient Cox Proportional Hazards via Streaming Newton-Raphson

Fits the Cox proportional hazards model using a single descending-order pass per Newton-Raphson iteration. Peak RAM is O(p^2) regardless of the number of rows, making it suitable for datasets that do not fit in memory. Produces identical coefficients to survival::coxph() with Efron tie correction.

Authors:Tommy Carstensen [aut, cre], Apache Software Foundation [cph, ctb]

coxstream_0.1.0.tar.gz
coxstream_0.1.0.tar.gz(r-4.7-arm64)coxstream_0.1.0.tar.gz(r-4.7-x86_64)coxstream_0.1.0.tar.gz(r-4.6-arm64)coxstream_0.1.0.tar.gz(r-4.6-x86_64)
coxstream_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
coxstream/json (API)

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

Bug tracker:https://github.com/tommycarstensen/coxstream-r/issues

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

On CRAN:

Conda:

cpp

1.70 score 3 scripts 2 exports 4 dependencies

Last updated from:7b774d0572. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK133
linux-devel-x86_64OK195
source / vignettesOK161
linux-release-arm64OK133
linux-release-x86_64OK131
wasm-releaseOK107

Exports:coxstreamcoxstream_arrow

Dependencies:latticeMatrixRcppsurvival