Utility Functions for Conducting and Interpreting Meta-Analyses
Maya B. Mathur, Rui Wang, Tyler J. VanderWeele
Contains functions to estimate the proportion of effects stronger than a threshold
of scientific importance (function prop_stronger), to nonparametrically characterize the distribution of effects in a meta-analysis (calib_ests, pct_pval),
to make effect size conversions (r_to_d, r_to_z, z_to_r), to compute and format inference in a meta-analysis (format_CI, format_stat, tau_CI), to scrape results from
existing meta-analyses for re-analysis (scrape_meta, parse_CI_string).

Contains functions to estimate the proportion of effects stronger than a threshold
of scientific importance (function prop_stronger), to nonparametrically characterize the distribution of effects in a meta-analysis (calib_ests, pct_pval),
to make effect size conversions (r_to_d, r_to_z, z_to_r, d_to_logRR), to compute and format inference in a meta-analysis (format_CI, format_stat, tau_CI), to scrape results from
existing meta-analyses for re-analysis (scrape_meta, parse_CI_string).
metafor, stats, stringr, purrr, dplyr, tidyr, rlang

Contains functions to estimate the proportion of effects stronger than a threshold
of scientific importance (function prop_stronger), to nonparametrically characterize the distribution of effects in a meta-analysis (calib_ests, pct_pval),
to make effect size conversions (r_to_d, r_to_z, z_to_r, d_to_logRR), to compute and format inference in a meta-analysis (format_CI, format_stat, tau_CI), to scrape results from
existing meta-analyses for re-analysis (scrape_meta, parse_CI_string, ci_to_var).
metafor, metadat, stats, stringr, purrr, dplyr, tidyr, rlang

Annotation of Metabolites from Liquid Chromatography-Mass
Spectrometry Data
Manuel David Peris Diaz <madape@alumni.uv.es>
Automatic metabolite annotation from Liquid Chromatography-Mass Spectrometry (LC-MS and LC-MS/MS) data from .mzXML files, providing an inclusion list of metabolites/fragments (Only the ion mass). The function returns the identification and quantification of the peaks presented in the sample, as well as the non-identified metabolites/fragments.