lavNames: lavaan Names

In lavaan: Latent Variable Analysis

lavaan Names

Description

Extract variable names from a fitted lavaan object.

Usage

lavNames(object, type = "ov", ...)

Arguments

object	An object of class lavaan.
type	Character. The type of variables whose names should be extracted. See details for a complete list. Dots and underscores are interchangeable ("ov_nox" and "ov.nox" select the same variables).
...	Additional selection criteria. For example, "group = 2L" (in a multiple-group analysis) restricts the selection to the variables included in the model for the second group.

Details

The order of the variable names, as returned by lav_object_vnames, determines the order in which the variables are listed in the parameter table, and therefore also in the summary output.

The following variable types are available:

• "ov": observed variables

• "ov_x": (pure) exogenous observed variables (no mediators)

• "ov_nox": non-exogenous observed variables

• "ov_model": modeled observed variables (joint vs conditional)

• "ov_y": (pure) endogenous variables (dependent only) (no mediators)

• "ov_num": numeric observed variables

• "ov_ord": ordinal observed variables

• "ov_ind": observed indicators of latent variables

• "ov_orphan": isolated observed variables (only their intercepts or variances appear in the model syntax)

• "ov_interaction": interaction terms (defined by the colon operator)

• "th": threshold names (ordinal variables only)

• "th_mean": threshold names (ordinal and numeric variables, if any)

• "lv": latent variables

• "lv_regular": measured latent variables (defined by =~ only)

• "lv_composite": composites (defined by <~ only)

• "lv_x": (pure) exogenous variables

• "lv_y": (pure) endogenous variables

• "lv_nox": non-exogenous latent variables

• "lv_nonnormal": latent variables with non-normal indicators

• "lv_interaction": interaction terms at the latent level

• "eqs_y": variables that appear as dependent variables in a regression formula (but not indicators of latent variables)

• "eqs_x": variables that appear as independent variables in a regression formula

See Also

lavParTable, parTable

Examples

HS.model <- ' visual  =~ x1 + x2 + x3
              textual =~ x4 + x5 + x6
              speed   =~ x7 + x8 + x9 '

fit <- cfa(HS.model, data=HolzingerSwineford1939)
lavNames(fit, "ov")

lavaan documentation built on Oct. 8, 2026, 5:06 p.m.