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 |