Commit b9bd9e95 authored by beate.stpourcain's avatar beate.stpourcain
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This is version grmsem_1.1.0 with updated details.

parent ff951f77
This package was submitted to CRAN on 2021-01-20.
Once it is accepted, delete this file and tag the release (commit d85732e).
This package was submitted to CRAN on 2021-01-27.
Once it is accepted, delete this file and tag the release (commit ff951f7).
......@@ -3,4 +3,5 @@ Predefined parameter sets provide the user with an easy-to-use tool to fit a **C
**Independent Pathway / Cholesky (IPC)**  models. Each model can be adapted by the user as required. grmsem models can be used to estimate genetic and residual variances (AE) as well as genetic and residual correlations, bivariate heritabilities and factorial co-heritabilities.
Date sets for all example analyses in the vignette can be found within repository **[grmsem_external](https://gitlab.gwdg.de/beate.stpourcain/grmsem_external)**, smaller data sets are already included in the package.
Some **installation instructions** and a short overview about **model structures** as well as an **example** can be found in the **[Wiki](https://gitlab.gwdg.de/beate.stpourcain/grmsem/-/wikis/home)**.
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Some quick **installation instructions** and a short overview about **model structures** as well as an **example** can be found in the **[Wiki](https://gitlab.gwdg.de/beate.stpourcain/grmsem/-/wikis/home)**.
A detailed description of the CRAN **[grmsem v1.1.0](https://cran.r-project.org/web/packages/grmsem/index.html)** R package can be found in the **[vignette](https://cran.r-project.org/web/packages/grmsem/vignettes/grmsem.pdf)**.
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......@@ -35,7 +35,7 @@ This function estimates factorial co-heritabilities and factorial co-environment
The \code{grmsem.fcoher} function can be used to estimate factorial co-heritabilities and factorial co-environmentalities
for models estimating latent variables (Cholesky, IP or IPC models), based on \code{grmsem.fit} or \code{grmsem.stpar} objects.
The factorial co-heritability of a genetic factor m for trait t is the ratio of the genetic variance explained by factor m (A_mt) to the total genetic variance (A_t): A_mt / A_t.
The factorial co-environmentality of a residual factor n for trait t is the ratio of the residual variance explained by factor m (E_nt) to the total residual variance (E_t): E_nt / E_t.
The factorial co-environmentality of a residual factor n for trait t is the ratio of the residual variance explained by factor n (E_nt) to the total residual variance (E_t): E_nt / E_t.
All standard errors are derived with the Delta method.
}
\examples{
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