unstandardized_estimates: Unstandardized Parameter Estimates

In plssem: Complex Partial Least Squares Structural Equation Modeling

Unstandardized Parameter Estimates

Description

Transform parameter estimates from a fitted PLS-SEM model to observed- and latent-variable scales. Variables not selected through unstandardized remain on their standardized scales.

Usage

unstandardized_estimates(
  model,
  unstandardized = "all",
  se = c("delta", "none"),
  scale.uncertainty = FALSE,
  eps = 1e-04,
  zero.tol = 1e-10,
  rm.tmp.ov = TRUE,
  clean.tmp.ind = TRUE,
  clean.tmp.mimic = TRUE
)

## S4 method for signature 'PlsModel'
unstandardized_estimates(
  model,
  unstandardized = "all",
  se = c("delta", "none"),
  scale.uncertainty = FALSE,
  eps = 1e-04,
  zero.tol = 1e-10,
  rm.tmp.ov = TRUE,
  clean.tmp.ind = TRUE,
  clean.tmp.mimic = TRUE
)

Arguments

model	A fitted PlsModel object.
unstandardized	Character vector naming variables to unstandardize, or one of "all", "ov", or "lv".
se	Character string selecting delta-method standard errors ("delta") or no standard errors ("none").
scale.uncertainty	Should scale uncertainty be included? defaults to FALSE.
eps	Positive numeric finite-difference step used for the delta-method Jacobian.
zero.tol	Non-negative numeric tolerance below which standard errors are returned as missing.
rm.tmp.ov	Logical; whether rows involving temporary observed variables should be removed from the returned parameter table.
clean.tmp.ind	Logical; whether rows involving temporary indicators should be cleaned from the returned parameter table.
clean.tmp.mimic	Logical; whether rows involving temporary mimic indicators should be cleaned from the returned parameter table.

Value

A PlsSemParTable containing transformed estimates and (when requested) delta-method standard errors. The transformed covariance matrix is stored in the "vcov" attribute.

Examples

tpb <- '
# Outer Model (Based on Hagger et al., 2007)
  ATT <~ att1 + att2 + att3 + att4 + att5
  SN =~ sn1 + sn2
  PBC =~ pbc1 + pbc2 + pbc3
  INT =~ int1 + int2 + int3
  BEH <~ b1 + b2

# Inner Model (Based on Steinmetz et al., 2011)
  INT ~ ATT + SN + PBC
  BEH ~ INT + PBC + INT:PBC
'

fit <- pls(tpb, modsem::TPB, bootstrap = TRUE, boot.R = 50)
unstandardized_estimates(fit)

plssem documentation built on Sept. 26, 2026, 5:06 p.m.