<?xml version="1.0" encoding="utf-8" ?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:r="https://r-universe.dev"><channel><title>rbluhm.r-universe.dev</title><link>https://rbluhm.r-universe.dev</link><description>Recent package updates in rbluhm</description><generator>R-universe</generator><image><url>https://github.com/rbluhm.png</url><title>R packages by rbluhm</title><link>https://rbluhm.r-universe.dev</link></image><lastBuildDate>Sat, 26 Sep 2026 21:58:26 GMT</lastBuildDate><item><title>[rbluhm] fastconley 0.11.1</title><author>richard.bluhm@gmail.com (Richard Bluhm)</author><description>Conley (1999) &lt;doi:10.1016/S0304-4076(98)00084-0&gt; spatial
heteroscedasticity and autocorrelation consistent (HAC)
standard errors for fixed effects panel and cross-sectional
models estimated with felm() from the 'lfe' package (ordinary
least squares and instrumental variables) or with feols(),
feglm(), and fepois() from the 'fixest' package.
Instrumental-variable support is limited to ordinary two-stage
least squares. Generalized linear model fits use the
M-estimation sandwich built from the stored scores and inverse
Hessian. The spatial path uses score accumulation, a
three-dimensional cell-grid neighbour search, and compressed
sparse row neighbour lists instead of dense distance matrices,
yielding large speedups over the original 'conley' package
&lt;https://github.com/rbluhm/conley&gt; on big cross-sections and
high-dimensional regressions.</description><link>https://github.com/r-universe/rbluhm/actions/runs/36312329944</link><pubDate>Sat, 26 Sep 2026 21:58:26 GMT</pubDate><r:package>fastconley</r:package><r:version>0.11.1</r:version><r:status>success</r:status><r:repository>https://rbluhm.r-universe.dev</r:repository><r:upstream>https://github.com/rbluhm/fastconley</r:upstream><r:article><r:source>fastconley-performance.Rmd</r:source><r:filename>fastconley-performance.html</r:filename><r:title>Conley standard errors with fastconley</r:title><r:created>2026-06-10 16:59:04</r:created><r:modified>2026-09-15 17:34:01</r:modified></r:article></item></channel></rss>