Nothing
devtools::load_all()
m1 <- '
# Outer Model
X =~ x1 + x2 +x3
Y =~ y1 + y2 + y3
Z =~ z1 + z2 + z3
# Inner model
Y ~ X + Z + X:Z + x1
'
testthat::expect_no_error(modsem(m1, oneInt, method = "lms"))
m3 <- '
# Outer Model
X =~ x1 + x2 +x3
Y =~ y1 + y2 + y3
Z =~ z1 + z2 + z3 + jk
# Inner model
Y ~ X + Z + X:Z
'
testthat::expect_error(modsem(m3, oneInt, method = "lms"),
regexp = ".*Missing observed variables in data:.*jk.*")
testthat::expect_error(modsem(m3, oneInt, method = "qml"),
regexp = ".*Missing observed variables in data:.*jk.*")
m4 <- '
# Outer Model
X =~ x1 + x2 +x3
Y =~ y1 + y2 + y3
Z =~ z1 + z2 + z3 + y1
# Inner model
Y ~ X + Z + X:Z
'
testthat::expect_error(modsem(m4, oneInt, method = "qml"),
regexp = ".*The same indicator cannot be used .* y1")
tpb_main <- "
# Outer Model (Based on Hagger et al., 2007)
ATT =~ a1 * att1 + a2 * att2 + att3 + att4 + att5
SN =~ s1 * sn1 + sn2
PBC =~ p1 * pbc1 + pbc2 + pbc3
INT =~ i1 * int1 + int2 + int3
BEH =~ b1 + b2
# Inner Model (Based on Steinmetz et al., 2011)
ATT ~ SN
BEH ~ INT + a * PBC
"
tpb_cov <- "
INT ~ ATT + b * SN + c * PBC
"
testthat::expect_error(modsem(tpb_main, data = TPB, method = "lms",
calc.se=FALSE, cov.syntax = tpb_cov),
regexp = ".*All latent variables.*")
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