https://jjkraker.r-universe.devRecent package updates in jjkrakerR-universehttps://github.com/jjkraker.pnghttps://jjkraker.r-universe.devSun, 03 May 2026 23:55:23 GMTkrakerjj@uwec.edu (Jessica J. Kraker)Weighted Deming regression, also known as 'errors-in-variable' regression, is applied with suitable weights. Weights are modeled via a precision profile; thus the methods implemented here are referred to as precision profile weighted Deming (PWD) regression. The package covers two settings – one where the precision profiles are known either from external studies or from adequate replication of the X and Y readings, and one in which there is a plausible functional form for the precision profiles but the exact (unknown) function must be estimated from the (generally singlicate) readings. The function set includes tools for: estimated standard errors (via jackknifing); standardized-residual analysis function with regression diagnostic tools for normality, linearity and constant variance; and an outlier analysis identifying significant outliers for closer investigation. Weighted Deming regression is also now implemented for multiple instruments. The following reference provides further information on mathematical derivations and applications. Hawkins, D.M., and J.J. Kraker (2026). 'Precision Profile Weighted Deming Regression for Methods Comparison'. The Journal of Applied Laboratory Medicine 11, 379-392 <doi:10.1093/jalm/jfaf183>.https://github.com/r-universe/jjkraker/actions/runs/26881393712Sun, 03 May 2026 23:55:23 GMTppwdeming2.1.0.1successhttps://jjkraker.r-universe.devhttps://github.com/jjkraker/ppwdemingkrakerjj@uwec.edu (Jessica J. Kraker)A collection of routines for finding reference limits using, where appropriate, QQ methodology. All use a data vector X of cases from the reference population. The default is to get the central 95% reference range of the population, namely the 2.5 and 97.5 percentile, with optional adjustment of the range. Along with the reference limits, we want confidence intervals which, for historical reasons, are typically at 90% confidence. A full analysis provides six numbers: – the upper and the lower reference limits, and - each of their confidence intervals. For application details, see Hawkins and Esquivel (2024) <doi:10.1093/jalm/jfad109>.https://github.com/r-universe/jjkraker/actions/runs/26745863757Wed, 27 Aug 2025 00:28:58 GMTQQreflimits1.0.3successhttps://jjkraker.r-universe.devhttps://github.com/jjkraker/qqreflimits