SMT: Sequential model tests

In EFAtools: Fast and Flexible Implementations of Exploratory Factor Analysis Tools

Sequential model tests

Description

SMT() has been superseded by efa_smt(), which is the recommended interface going forward. It remains available and unchanged so existing code keeps working.

Usage

SMT(
  x,
  N = NA,
  use = c("pairwise.complete.obs", "all.obs", "complete.obs", "everything",
    "na.or.complete"),
  cor_method = c("pearson", "spearman", "kendall", "poly", "tetra")
)

Arguments

x	data.frame or matrix. Dataframe or matrix of raw data or matrix with correlations.
N	numeric. The number of observations. Needs only be specified if a correlation matrix is used. Must be larger than the number of variables.
use	character. Passed to stats::cor() if raw data is given as input. Default is "pairwise.complete.obs".
cor_method	character. One of "pearson", "spearman", or "kendall", passed to stats::cor(). "poly" and "tetra" are not supported because SMT rests on a normal-theory chi-square test that is not valid for polychoric / tetrachoric correlations. Default is "pearson".

Value

An object of class efa_retention, identical to the value of efa_smt(); see there for the components.

See Also

efa_smt()

EFAtools documentation built on Aug. 21, 2026, 5:16 p.m.