screeplot_svd: Scree plot for singular values.

In mirtsvd: SVD-Based Estimation for Exploratory Item Factor Analysis

Description

Scree plot for singular values.

Usage

screeplot_svd(data, link = "logit", epsilon = 1e-04, K_max = 10)

Arguments

data	the data matrix. Entries are either binary or categorical. Missing entries should be NA.
link	the link fucntion. Possible choices are "logit" and "probit".
epsilon	the truncation parameter. Default value is 1e-4.
K_max	The maximum number of factors contained in data. Default value is 10.

References

Zhang, H., Chen, Y., & Li, X. (2020). A note on exploratory item factor analysis by singular value decomposition. Psychometrika, 1-15, doi: 10.1007/s11336-020-09704-7.

Examples

require(mirtjml)

# load a simulated dataset
attach(data_sim)

data <- data_sim$response
screeplot_svd(data, K_max = 10)

mirtsvd documentation built on Sept. 13, 2020, 5:10 p.m.