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metasplines: Pool Literature-Based and Individual Participant Data Based Spline Estimates

Pooling estimates reported in meta-analyses (literature-based, LB) and estimates based on individual participant data (IPD) is not straight-forward as the details of the LB nonlinear function estimate are not usually reported. This package pools the nonlinear IPD dose-response estimates based on a natural cubic spline from lm or glm with the pointwise LB estimates and their estimated variances. Details will be presented in Härkänen, Tapanainen, Sares-Jäske, Männistö, Kaartinen and Paalanen (2025) "Novel pooling method for nonlinear cohort analysis and meta-analysis estimates: Predicting health outcomes based on climate-friendly diets" (under revision) <https://journals.lww.com/epidem/pages/default.aspx>.

Version: 0.1.0
Depends: R (≥ 4.2.0)
Imports: rlang, dplyr, tidyr, tibble, stringr, meta, optimization
Suggests: knitr, rmarkdown, splines2
Published: 2025-07-21
DOI: 10.32614/CRAN.package.metasplines
Author: Tommi Härkänen [aut, cre]
Maintainer: Tommi Härkänen <tommi.harkanen at thl.fi>
License: GPL (≥ 3)
NeedsCompilation: no
Citation: metasplines citation info
Materials: README
CRAN checks: metasplines results

Documentation:

Reference manual: metasplines.html , metasplines.pdf
Vignettes: Introduction (source, R code)

Downloads:

Package source: metasplines_0.1.0.tar.gz
Windows binaries: r-devel: metasplines_0.1.0.zip, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): metasplines_0.1.0.tgz, r-oldrel (x86_64): metasplines_0.1.0.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.