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R/EWaldtest.R
In RM.weights: Weighted Rasch Modeling and Extensions using Conditional Maximum Likelihood
Defines functions
EWaldtest
Documented in
EWaldtest
EWaldtest <-
function(b1, b2, se1, se2) {
z = (b1 - b2)/(sqrt(abs(se1^2 + se2^2)))
p.value = 2 * pnorm(-abs(z))
tab = cbind(z, p.value)
rownames(tab) =
return(list(z = z, p = p.value, tab = round(tab, 3 )))
}
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RM.weights documentation built on May 2, 2019, 6:09 a.m.
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Defines functions EWaldtest
Documented in EWaldtest
EWaldtest <-
function(b1, b2, se1, se2) {
z = (b1 - b2)/(sqrt(abs(se1^2 + se2^2)))
p.value = 2 * pnorm(-abs(z))
tab = cbind(z, p.value)
rownames(tab) =
return(list(z = z, p = p.value, tab = round(tab, 3 )))
}
Try the RM.weights package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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