Description Details Author(s) References

Fitting and evaluation of piecewise structural equation models, complete
with goodness-of-fit tests, estimates of (standardized) path coefficients,
and evaluation of individual model fits (e.g., through R-squared values).
Compared with traditional variance-covariance based SEM, piecewise SEM
allows for fitting of models to different distributions through GLM and/or
hierarchical/nested random structures through (G)LMER. Supported model
classes include: ```
lm, glm, gls, pgls, sarlm, lme, glmmPQL, lmerMod,
merModLmerTest, glmerMod
```

.

Package: | piecewiseSEM |

Type: | Package |

Version: | 2.0.0 |

Date: | 2018-06-11 |

Depends: | R (>= 3.5.0), nlme, pbkrtest |

Suggests: | MASS, lme4 |

License: | MIT |

The primary
functions in the package are `psem`

which unites structural
equations in a single model. `summary.psem`

can be used on an object of
class `psem`

to provide various summary statistics for evaluation and
interpretation.

Jon Lefcheck <[email protected]>

Shipley, Bill. "A new inferential test for path models based on directed acyclic graphs." Structural Equation Modeling 7.2 (2000): 206-218.

Shipley, Bill. Cause and correlation in biology: a user's guide to path analysis, structural equations and causal inference. Cambridge University Press, 2002.

Shipley, Bill. "Confirmatory path analysis in a generalized multilevel context." Ecology 90.2 (2009): 363-368.

Shipley, Bill. "The AIC model selection method applied to path analytic models compared using a d-separation test." Ecology 94.3 (2013): 560-564.

Grace, J.B., Johnson, D.A., Lefcheck, J.S., and Byrnes, J.E. "Standardized Coefficients in Regression and Structural Models with Binary Outcomes." Ecosphere 9(6): e02283.

Nakagawa, Shinichi, Paul CD Johnson, and Holger Schielzeth. "The coefficient of determination R2 and intra-class correlation coefficient from generalized linear mixed-effects models revisited and expanded." Journal of the Royal Society Interface 14.134 (2017): 20170213.

piecewiseSEM documentation built on June 12, 2018, 5:19 p.m.

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.