View source: R/coef.permutest.rma.uni.r
coef.permutest.rma.uni | R Documentation |
Function to extract the estimated model coefficients, corresponding standard errors, test statistics, p-values (based on the permutation tests), and confidence interval bounds from objects of class "permutest.rma.uni"
.
## S3 method for class 'permutest.rma.uni'
coef(object, ...)
object |
an object of class |
... |
other arguments. |
A data frame with the following elements:
estimate |
estimated model coefficient(s). |
se |
corresponding standard error(s). |
zval |
corresponding test statistic(s). |
pval |
p-value(s) based on the permutation test(s). |
ci.lb |
lower bound of the (permutation-based) confidence interval(s). |
ci.ub |
upper bound of the (permutation-based) confidence interval(s). |
When the model was fitted with test="t"
, test="knha"
, test="hksj"
, or test="adhoc"
, then zval
is called tval
in the data frame that is returned by the function.
Wolfgang Viechtbauer wvb@metafor-project.org https://www.metafor-project.org
Viechtbauer, W. (2010). Conducting meta-analyses in R with the metafor package. Journal of Statistical Software, 36(3), 1–48. https://doi.org/10.18637/jss.v036.i03
permutest
for the function to conduct permutation tests and rma.uni
for the function to fit models for which permutation tests can be conducted.
### calculate log risk ratios and corresponding sampling variances
dat <- escalc(measure="RR", ai=tpos, bi=tneg, ci=cpos, di=cneg, data=dat.bcg)
### fit mixed-effects model with absolute latitude and publication year as moderators
res <- rma(yi, vi, mods = ~ ablat + year, data=dat)
### carry out permutation test
## Not run:
set.seed(1234) # for reproducibility
sav <- permutest(res)
coef(sav)
## End(Not run)
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