Bioconductor link | link |
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CRAN link | link |
Package version | <%= pkg$version%> |
Number of strong dependencies | <%= df[pkg$package, "n_by_strong"]%> |
Number of all dependencies | <%= df[pkg$package, "n_by_all"]%> |
Number of parent packages | <%= df[pkg$package, "n_parents"]%> |
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Number of all parent packages (including Suggests and Enhances ) | <%= length(pkg$heaviness) %> |
Max heaviness from parent packages | <%= if(any(pkg$which_required)) max(pkg$heaviness[pkg$which_required]) else 0 %> |
Total heaviness from parent packages | <%= if(any(pkg$which_required)) sum(pkg$heaviness[pkg$which_required]) else 0 %> |
Max co-heaviness from parent packages ("<%=rn[ind[1, 1]]%>" and "<%=rn[ind[1, 2]]%>") | <%= max(m) %> |
Number of child packages | <%= df[pkg$package, "n_children"]%> |
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Heaviness on child packages | <%= round(df[pkg$package, "heaviness_on_children"], 1)%> |
Number of downstream packages | <%= df[pkg$package, "n_downstream"]%> |
Heaviness on downstream packages ? | <%= round(df[pkg$package, "heaviness_on_downstream"], 1)%> |
Number of indirect downstream packages (excluding child packages) | <%= df[pkg$package, "n_indirect_downstream"]%> |
Heaviness on indirect downstream packages (excluding child packages) | <%= round(df[pkg$package, "heaviness_on_indirect_downstream"], 1)%> |
Total heaviness on downsteam packages | <%= round(df[pkg$package, "n_downstream"]*df[pkg$package, "heaviness_on_downstream"]) %> |
In the following dependency heatmap, rows are the parent packages of <%=pkg$package%> and columns are the dependency packages that each parent package brings in. On the right side of the heatmap, there are three barplot annotations: 1. number of imported functions/S4 methods/S4 classes from parent packages; 2. number of dependency packages from each parent package; 3. heaviness of each parent package on <%=pkg$package%>.
The dependency heatmap can be generated by x = pkgndep('<%=pkg$package%>'); plot(x)
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