print.irt_study: Print an IRT Study
In irtsim: Monte Carlo Simulation-Based Sample-Size Planning for Item Response Theory
print.irt_study R Documentation
Print an IRT Study
Description
Display a compact summary of an irt_study object, including model,
items, sample sizes, and missing data mechanism.
Usage
## S3 method for class 'irt_study'
print(x, ...)
Arguments
x
An irt_study object.
...
Additional arguments (ignored).
Value
x, invisibly.
See Also
irt_study()
Examples
d <- irt_design("1PL", 10, list(b = seq(-2, 2, length.out = 10)))
s <- irt_study(d, sample_sizes = c(100, 500))
print(s)
irtsim documentation built on April 24, 2026, 1:07 a.m.
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| print.irt_study | R Documentation |
Print an IRT Study
Description
Display a compact summary of an irt_study object, including model, items, sample sizes, and missing data mechanism.
Usage
## S3 method for class 'irt_study'
print(x, ...)
Arguments
x |
An |
... |
Additional arguments (ignored). |
Value
x, invisibly.
See Also
irt_study()
Examples
d <- irt_design("1PL", 10, list(b = seq(-2, 2, length.out = 10)))
s <- irt_study(d, sample_sizes = c(100, 500))
print(s)
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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