Package index • csemGT

Estimation

Per-person conditional standard error of measurement under the single-facet person-by-item crossed Generalizability Theory design.

csem_gt(): Conditional standard errors of measurement under Generalizability Theory

S3 class and methods

The csem object and the methods that operate on it.

new_csem(): Construct a `csem` object
is.csem(): Test whether an object is a `csem` object
print(<csem>): Print a `csem` object
summary(<csem>): Summarise a `csem` object
plot(<csem>): Plot a `csem` object
as.data.frame(<csem>): Coerce a `csem` object to a data frame
by_score(): Extract the score-level table from a `csem` object
coef(<csem>): Extract the variance components of a `csem` object

Plot palette

Colour palette shared by plot.csem() and available for reuse.

csem_palette(): The csemGT colour palette

Datasets

Simulated illustration datasets shipped with the package.

iowa_like: Simulated ITED-like dichotomous responses (Brennan, 1998)
ipip_like: Simulated IPIP-10-like Likert responses