Title: Robust Meta-analysis and Meta-regression
Imports: boot, methods, numDeriv, lme4, MASS

Title: Robust Meta-Analysis and Meta-Regression
Description: Performs meta-analysis and meta-regression using standard and robust methods with confidence intervals based on the profile likelihood. Robust methods are based on alternative distributions for the random effect, either the t-distribution (Lee and Thompson, 2008 <doi:10.1002/sim.2897> or Baker and Jackson, 2008 <doi:10.1007/s10729-007-9041-8>) or mixtures of normals (Beath, 2014 <doi:10.1002/jrsm.1114>).
Imports: bbmle, metafor, boot, methods, numDeriv, MASS, graphics,

Description: Performs meta-analysis and meta-regression using standard and robust methods with confidence intervals from the profile likelihood. Robust methods are based on alternative distributions for the random effect, either the t-distribution (Lee and Thompson, 2008 doi:10.1002/sim.2897 or Baker and Jackson, 2008 doi:10.1007/s10729-007-9041-8) or mixtures of normals (Beath, 2014 doi:10.1002/jrsm.1114).

Imports: boot, methods, numDeriv, lme4, MASS, graphics, stats

Author: Ken Beath [aut, cre], Ben Bolker [aut], R Development Core Team [aut]
Description: Performs meta-analysis and meta-regression using standard and robust methods with confidence intervals based on the profile likelihood. Robust methods are based on alternative distributions for the random effect, either the t-distribution (Lee and Thompson, 2008 doi:10.1002/sim.2897 or Baker and Jackson, 2008 doi:10.1007/s10729-007-9041-8) or mixtures of normals (Beath, 2014 doi:10.1002/jrsm.1114).

Imports: bbmle, metafor, boot, methods, numDeriv, lme4, MASS, graphics,

stats, fastGHQuad, lme4, Rfast, parallel, doParallel, foreach,

Description: Provides an interface to 'MetaPost' (Hobby, 1998)
There are functions to generate an R description of a 'MetaPost'
curve, functions to generate 'MetaPost' code from an R description,
functions to process 'MetaPost' code, and functions to read

Authors@R: person("Jason", "Griffin", email = "jasongriffin138@gmail.com", role = c("aut", "cre"))
Description: A simple and effective tool for computing meta-analytic statistical power for
main effects, tests of homogeneity, and categorical moderator models. All equations are
Borenstein, Hedges, Higgins, & Rothstein (2009) <doi:10.1002/9780470743386>.