All functions

AIC(<psem>)

Generic function for SEM AIC(c) score

AIC_psem()

Information criterion values for SEM

anova(<psem>)

ANOVA and chi-squared difference test for model comparison

as.psem()

Convert list to psem object

basisSet()

Derivation of the basis set

cbind_fill()

Bind data.frames of differing dimensions

cerror()

Correlated errors

coefs()

Extract path coefficients

dSep()

Tests of directed separation

evaluateClasses()

Evaluate model classes and stop if unsupported model class

fisherC()

Summarize tests of directed separation using Fisher's C statistic

getDAG()

Generate adjacency matrix from list of structural equations

getSortedPsem()

Get a sorted psem object in DAG order

`%~~%`

Correlated error operator

import

Functions to import from dependencies

keeley

Data set from Grace & Keeley (2006)

LLchisq()

Generalized chi-squared for piecewise SEM

meadows

Data set from Grace & Jutila (1999)

multigroup()

Multigroup Analysis for Piecewise SEM

partialResid()

Computing partial effects

piecewiseSEM piecewiseSEM-package

The 'piecewiseSEM` package

plot(<psem>)

Plotting of Piecewise Structural Equation Models

print(<anova.psem>)

Print anova

print(<basisSet>)

Print basis set

print(<multigroup.psem>)

Print multigroup

print(<psem>)

Print psem

print(<summary.psem>)

Print summary

psem()

Fitting piecewise structural equation models

residuals(<psem>)

Residual values from fit models

rsquared()

R-squared for linear regression

shipley

Data set from Shipley (2006)

summary(<psem>)

Summarizing piecewise structural equation models

update(<psem>)

Update psem model object with additional values.