piecewiseSEM : Piecewise structural equation modelling in r for ecology, evolution, and systematics
نویسندگان
چکیده
منابع مشابه
piecewiseSEM: Piecewise structural equation modeling in R for ecology, evolution, and systematics
1. Ecologists and evolutionary biologists are relying on an increasingly sophisticated set of statistical tools to describe complex natural systems. One such tool that has gained increasing traction in the life sciences is structural equation modeling (SEM), a variant of path analysis that resolves complex multivariate relationships among a suite of interrelated variables. 2. SEM has historical...
متن کاملContinuous Time Structural Equation Modelling With R Package ctsem
Note: This paper introduces the frequentist, maximum likelihood based form of ctsem. For the Bayesian implementation, see Hierarchical Bayesian Continuous Time Dynamic Modelling and Introduction to Hierarchical Continuous Time Dynamic Modelling With ctsem. We introduce ctsem (Driver, Oud, and Voelkle 2017), an R package for continuous time structural equation modelling of panel (N > 1) and time...
متن کاملStructural Equation Modelling for small samples
Covariance-based SEM is usually used with an objective of model validation and needs a large sample (what is large varies from an author to another: more than 100 subjects and preferably more than 200 subjects are often mentioned). Component-based SEM is mainly used for score computation and can be carried out on very small samples. A research based on 6 subjects has been published by Tenenhaus...
متن کاملComponent-based Structural Equation Modelling
Two complementary schools have come to the fore in the field of Structural Equation Modelling (SEM): covariance-based SEM and component-based SEM. The first approach has been developed around Karl Jöreskog and the second one around Herman Wold under the name "PLS" (Partial Least Squares). Hwang and Takane have proposed a new component-based SEM method named Generalized Structured Component Anal...
متن کاملSoftware for Systematics and Evolution
Syst. Biol. 66(2):197–204, 2017 © The Author(s) 2016. Published by Oxford University Press, on behalf of the Society of Systematic Biologists. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, pro...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Methods in Ecology and Evolution
سال: 2015
ISSN: 2041-210X,2041-210X
DOI: 10.1111/2041-210x.12512