heaviness_on_downstream | R Documentation |

Heaviness on all downstream packages

```
heaviness_on_downstream(package, add_values_attr = FALSE, via = NULL,
total = FALSE, internal = FALSE)
```

`package` |
A package name. |

`add_values_attr` |
Whether to include "values" attribute? Internally used. |

`via` |
Whether to only consider downstream packages via a intermediate package? |

`total` |
Whether to return the total heaviness? |

`internal` |
Whether to use internally calculated heaviness? |

It is calculated based on a specific CRAN/Bioconductor snapshot. The version is set via `pkgndep_opt`

$heaviness_db_version.

The value is the mean heaviness of the package on all its downstream packages. Denote `n`

as the number of all its downstream packages,
`k_i`

as the number of required packages for package i,
`v_1`

as the total number of required packages for all downstream packages, i.e. `v_1 = sum_i^n {k_i}`

. Denote `p_i`

as the number of required packages if moving `package`

to `Suggests`

,
and `v_2`

as the total number of required packages, i.e. `v_1 = sum_i^n {p_i}`

. The final heaviniss on downstream packages is `(v_1 - v_2)/n`

.

Note since the interaction from `package`

to its downstream packages may go through several intermediate packages, which means, the reduction of required packages
for a downstream package might be joint effects from all its upstream packages, thus, to properly calculate the heaviness of a package to its downstream packages, we first make
a copy of the package database and move `package`

to `Suggests`

for all packages which depends on `package`

. Then for all downstream packages of `package`

, dependency analysis
by `pkgndep`

is redone with the modified package database. Finally, the heaviness on downstream packages is collected and the mean heaviness is calculated.

```
## Not run:
heaviness_on_downstream("ComplexHeatmap")
## End(Not run)
```

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