On 2 Nov 2020, at 14:07, Christopher David Desjardins <cddesjardins at gmail.com> wrote:
The lavaan package is also a very good option (it's essentially an R
version of Mplus) and has a very active mailing list,
https://groups.google.com/forum/#!forum/lavaan
Regarding a book, I would recommend Bollen's SEM book (
https://www.amazon.com/Structural-Equations-Latent-Variables-Kenneth/dp/0471011711),
it's old but still quite good and relevant. Rex Kline's book is also good,
but hated by methodologists for being too formulaic and some of his
recommendations (
https://www.guilford.com/books/Principles-and-Practice-of-Structural-Equation-Modeling/Rex-Kline/9781462523344).
Unlike Rich's recommendations, these books are more for social scientists,
but the books are helpful nonetheless.
On Mon, Nov 2, 2020 at 8:49 AM Rich Shepard <rshepard at appl-ecosys.com>
wrote:
On Mon, 2 Nov 2020, mehdi heydari wrote:
I want to do SEM on my dataset (plant ecology) in R. Can you introduce
someone to help me?
Mehdi,
I highly recommend Jim Grace's book, "Structural Equation Modeling and
Natural Systems" and his 2008 paper, "Structural Equation Modeling for
Observational
Studies" (The Journal of Wildlife Management 72(1):14-22.)
The second is valuable for environmental and regulatory science needs as
these data are all observational and not experimental.
The R repo contains (at least) the packages 'sem' and 'OpenMX'.
HTH,
Rich