acyclic | Acyclic graph example |
acyclic.data | Acyclic graph example |
acyclic.DG | Acyclic graph example |
acyclic.qdg | Acyclic graph example |
acyclic.qtl | Acyclic graph example |
best.qtlnet | Catenate or subset qtlnet object(s). |
bic.join | Pre-compute BIC values for qtlnet sampling. |
bic.qtlnet | Pre-compute BIC values for qtlnet sampling. |
c.qtlnet | Catenate or subset qtlnet object(s). |
check.qtlnet | summary of model average network and posterior table |
cyclica | Cyclic graph (a) example |
cyclica.data | Cyclic graph (a) example |
cyclica.qtl | Cyclic graph (a) example |
cyclicb | Cyclic graph (b) example |
cyclicb.data | Cyclic graph (b) example |
cyclicb.qtl | Cyclic graph (b) example |
cyclicc | Cyclic graph (c) example |
cyclicc.data | Cyclic graph (c) example |
cyclicc.qtl | Cyclic graph (c) example |
dist.qtlnet | QTL network diagnostic routines |
edgematch.qtlnet | QTL network diagnostic routines |
est.qtlnet | QTL architecture per node as list |
generate.qtl.markers | Generate QTLs ane phenotypes from cross object |
generate.qtl.pheno | Generate QTLs ane phenotypes from cross object |
glxnet | Generate and graph Glx network |
glxnet.cross | Generate and graph Glx network |
glxnet.qdg | Generate and graph Glx network |
glxnet.qtl | Generate and graph Glx network |
graph.qdg | Produces a directed graph using QDG algorithm |
graph.qtlnet | qtlnet plot using igraph |
group.qtlnet | Determine and group node-parent combinations. |
igraph.qtlnet | qtlnet plot using igraph |
init.qtlnet | Sample genetic architecture and QTL network |
loci.qtlnet | QTL architecture per node as list |
mcmc.qtlnet | Sample genetic architecture and QTL network |
mds.qtlnet | QTL network diagnostic routines |
parallel.qtlnet | Code to parallelize use of qtlnet |
parents.qtlnet | Determine and group node-parent combinations. |
plot.qtlnet | qtlnet plot using igraph |
plotbic.qtlnet | QTL network diagnostic routines |
print.qdg | Produces a directed graph using QDG algorithm |
print.qdg.perm.test | Conduct permutation test for LOD score of edge direction on directed graph |
print.qdg.sem | Score directed graphs outputed by qdg using structural equation models (SEM) |
print.qtlnet | summary of model average network and posterior table |
print.summary.qtlnet | summary of model average network and posterior table |
Pscdbp | Cross and qtlnet objects with Ghazalpour et al. (2006) data. Only 13 phenotypes are included. |
Pscdbp.bic | Pre-compute BIC values for qtlnet sampling. |
Pscdbp.qtlnet | Cross and qtlnet objects with Ghazalpour et al. (2006) data. Only 13 phenotypes are included. |
qdg | Produces a directed graph using QDG algorithm |
qdg.perm.test | Conduct permutation test for LOD score of edge direction on directed graph |
qdg.sem | Score directed graphs outputed by qdg using structural equation models (SEM) |
qtlnet | Sample genetic architecture and QTL network |
size.qtlnet | Determine and group node-parent combinations. |
subset.qtlnet | Catenate or subset qtlnet object(s). |
summary.parents.qtlnet | Determine and group node-parent combinations. |
summary.qdg | Produces a directed graph using QDG algorithm |
summary.qdg.perm.test | Conduct permutation test for LOD score of edge direction on directed graph |
summary.qdg.sem | Score directed graphs outputed by qdg using structural equation models (SEM) |
summary.qtlnet | summary of model average network and posterior table |
write.qtlnet | write qtlnet as text file |