Functions for examining measurement invariance via equivalence testing are included in this package. The traditionally used RMSEA (Root Mean Square Error of Approximation) cutoff values are adjusted based on simulation results. In addition, a projection-based method is implemented to test the equality of latent factor means across groups without assuming the equality of intercepts. For more information, see Yuan, K. H., & Chan, W. (2016) <doi:10.1037/met0000080>, Deng, L., & Yuan, K. H. (2016) <doi:10.1007/s11336-015-9491-8>, and Jiang, G., Mai, Y., & Yuan, K. H. (2017) <doi:10.3389/fpsyg.2017.01823>.

Provides function transform_mathjax() to transform equations
defined using 'MathML', 'LaTeX' or 'ASCIIMathML' notation
into format 'SVG' or 'Office Open XML Math'. The 'XML'
result can then be included in 'HTML', 'Microsoft Word'
documents or 'Microsoft PowerPoint' presentations by using
a 'Markdown' document or the R package 'officer'.

Provides function to transform latex math expressions
into format 'HTML' or 'Office Open XML Math'. The 'XML'
result can then be included in 'HTML', 'Microsoft Word'
documents or 'Microsoft PowerPoint' presentations by using
a 'Markdown' document or the R package 'officer'.

Traditional Methods for Test Score Equating
In educational and psychological measurement multiple
forms of a test are often created, where forms are intended to
be identical in difficulty and statistical characteristics. In
the likely case that forms differ in difficulty, statistical
methods of equating and linking allow for the conversion of
scores on one form to the scale of another, essentially
creating parallel forms. The equate package contains functions
for traditional equating, including mean, linear, and
equipercentile equating and methods for pre- and post-smoothing
of score distributions.

The equate package contains functions for traditional
equating under both random groups and nonequivalent groups with
anchor test designs. Mean, linear, and equipercentile equating
are supported as are methods for univariate and bivariate
presmoothing of score distributions.