---
title: "BiocCheck: Ensuring Bioconductor package guidelines"
output:
  BiocStyle::html_document:
    toc: true
vignette: >
  % \VignetteIndexEntry{BiocCheck: Ensuring Bioconductor package guidelines}
  % \VignetteEngine{knitr::rmarkdown}
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---

# `BiocCheck`

`BiocCheck` encapsulates _Bioconductor_ package guidelines and best
practices, analyzing packages and reporting three categories of
issues:

* **ERROR**. This means the package is missing something critical and
  it cannot be accepted into _Bioconductor_ until the issue is
  fixed. (`BiocCheck` will continue past an `ERROR`, thus it is
  possible to have more than one, but it will exit with an error code
  if run from the OS command line.)
* **WARNING**. These issues almost always need to be addressed before
  the package is added to _Bioconductor_. In the weeks leading up to a
  _Bioconductor_ release we will ask package authors to fix these
  issues.
* **NOTE**: Not necessarily something bad, just something we wanted to
  point out. package authors don't need to take action on these, but
  they can.

# Using `BiocCheck`

Most commonly you will use BiocCheck from your operating system command line,
as

    R CMD BiocCheck package

Where `package` is either a directory containing an R package, or a source
tarball (`.tar.gz` file).

`BiocCheck` can also be run interactively:


```{r eval=FALSE}
library(BiocCheck)
BiocCheck("packageDirOrTarball")
```

`R CMD BiocCheck` takes options which can be seen by running

    R CMD BiocCheck --help

```{r echo=FALSE}
suppressPackageStartupMessages(library(BiocCheck))
usage()
```
Note that the `--new-package` option is turned on in the package
builder attached to the _Bioconductor_ package tracker, since this is
almost always used to build new packages that have been submitted.

# When should `BiocCheck` be run

Run `BiocCheck` after running `R CMD check`.

Note that `BiocCheck` is not a replacement for `R CMD check`; it is
complementary. It should be run after `R CMD check` completes
successfully.

`BiocCheck` can also be run via the [Travis-CI](https://www.travis-ci.org/)
(continuous integration) system. This service allows automatic testing of R
packages in a controlled build environment.

Simply add the following line to your package's `.travis.yml` file:

```{yml}
bioc_check: true
```

# Installing `BiocCheck`

`BiocCheck` should be installed as follows:

```{r eval=FALSE}
if (!"BiocManager" %in% rownames(installed.packages()))
     install.packages("BiocManager")
BiocManager::install("BiocCheck")
```

The package loading process attempts to install a script called
`BiocCheck` (`BiocCheck.bat` on Windows) into the `bin` directory of
your `R` installation. If it fails to do that (most likely due to
insufficient permissions), it will tell you, saying something like:

    Failed to copy the "script/BiocCheck" script to
    /Library/Frameworks/R.framework/Resources/bin. If you want to be
    able to run 'R CMD BiocCheck' you'll need to copy it yourself to a
    directory on your PATH, making sure it is executable.  See the
    BiocCheck vignette for more information.

You can fix the problem by following these instructions (noting that
`R` may live in a different directory on your system than what is
shown above).

If you don't have permission to copy this file to the `bin` directory
of your `R` installation, you can, as noted, copy it to any directory
that's in your PATH. For assistance modifying your PATH, see this link
([Windows](http://www.computerhope.com/issues/ch000549.htm)) or this
one ([Mac/Unix](http://kb.iu.edu/data/acar.html)).

If you manually copy this file to a directory in your PATH that is not
your R bin directory, you'll continue to see the above message when
(re-)installing `BiocCheck` but you can safely ignore it.

# Interpreting `BiocCheck` output

Actual `BiocCheck` output is shown below in **bold**.

## Dependency Checks

**Checking if other packages can import this one...**

* Checks to make sure that there will be no import problems if another
  package imports your package (`ERROR`).

**Checking to see if we understand object initialization....**

Reports if it can't figure out how objects were initialized (`NOTE`).

## Vignette Checks

Can be disabled with `--no-check-vignettes`.

**Checking vignette directory...**

Only run if your package is a software package (as determined by your
[biocViews](#biocViews_Checks)), or if package type cannot be
determined.

* Checks that the `vignettes` directory exists (`ERROR`).
* Checks that the `vignettes` directory only contains vignette sources
  *(*.Rmd, *.Rnw, *.Rrst, .Rhtml, *.Rtex) (`ERROR`).
* Checks whether, while checking a directory (not a tarball), vignette
  sources exist in inst/doc (`ERROR`).
* Checks that vignetteBuilder in DESCRIPTION and VignetteEngine in vignette
  are compatible (`ERROR`)
* Checks whether vignette title is still using template value (`WARNING`)
* Checks wheher the number of `eval=FALSE` chunks is more than 50% of
  the total (`WARNING`).
* Checks whether the global vignette code option is set to `eval=FALSE`.
  The majority of vignette code is expected to be evaluated (`WARNING`)

**Checking whether vignette is built with 'R CMD build'...**

Only run when `--build-output-file` is specified.

Analyzes the output of `R CMD build` to see if vignettes are built.
It simply looks for a line that starts:

    * creating vignettes ...

If this line is not present, it means `R` has not detected that a
vignette needs to be built (`ERROR`).

If you have vignette sources yet still get this message, there could
be several causes:

* Missing or invalid `VignetteBuilder` line in the `DESCRIPTION` file.
* Missing or invalid `VignetteEngine` line in the vignette source.

See `knitr`'s [package vignette][1] page, or the
[Non-Sweave vignettes][2] section of "Writing R Extensions" for more
information.

[1]: http://yihui.name/knitr/demo/vignette/
[2]: https://cran.r-project.org/doc/manuals/r-release/R-exts.html#Non_002dSweave-vignettes

## Version Checks

* **Checking new package version number...**
  Checks that the version number is valid for a new _Bioconductor_
  package. This is only done if the `--new-package` option is
  supplied (`ERROR`).
* **Checking version number validity...**
  Checks for a valid version, that format is correct and that version
  number is appropriate for this version of _Bioconductor_ (`ERROR`).
* **Checking R Version dependency...**
  If you specify an R version in the `Depends:` field of your
  `DESCRIPTION` file, `BiocCheck` checks to make sure that the R
  version specified matches the version currently used by
  _Bioconductor_. This prevents the package from being used in earlier
  versions of R, which is not recommended and is a frequent cause of
  user confusion (`WARNING`).
* **Checking for version number mismatch...**
  Checks that the package version specified in your package tarball
  (if you are checking a tarball) matches the value of the `Version:`
  field in your `DESCRIPTION` file.  If it doesn't, it usually means
  you did not build the tarball with `R CMD build`. (`ERROR`)

For more information on package versions, see the
[Version Numbering HOWTO][3].

[3]: http://www.bioconductor.org/developers/how-to/version-numbering/

## Package and File Size Check

* **Checking package size**
  Checks that the package size meets _Bioconductor_ requirements. The current
  package size limit is 4 MB for Software packages. Experiment Data and
  Annotation packages are excluded from this check. This check is only run if
  checking a source tarball. (ERROR)

* **Checking individual file sizes**
  The current size limit for all individual files is 5 MB. (WARNING)

## biocViews Checks

These can be disabled with the `--no-check-bioc-views` option, which
might be useful when checking non-_Bioconductor_ packages (since
biocViews is a concept unique to _Bioconductor_).

**Checking biocViews...**

* **Checking that biocViews are present...**
  Checks that a `biocViews` field is present in the DESCRIPTION file
  (`ERROR`).
* **Checking package type based on biocViews**
  Gives an indication if the package is identified as a Software, Annotation,
  Experiment, or Workflow package.
* **Checking for non-trivial biocViews...**
  Checks that biocViews are more specific than the top-level terms
  Software, AnnotationData, or ExperimentData (`ERROR`).
* **Checking biocViews validity...**
  Checks for valid views and displays invalid ones. Note that
  biocViews are case-sensitive (`WARNING`).
* **Checking that biocViews come from the same category...**
  Checks that all views come from the same parent (one of Software,
  AnnotationData, ExperimentData) (`WARNING`).
* **Checking for recommended biocViews...**
  Uses the `recommendBiocViews()` function from `biocViews` to
  automatically suggest some biocViews for your package.

More information about biocViews is available in the
[Using biocViews HOWTO][4].

[4]: http://www.bioconductor.org/developers/how-to/biocViews/

## Build System Compatibility Checks

The _Bioconductor_ Build System (BBS) is our nightly build system and
it has certain requirements. Packages which don't meet these
requirements can be silently skipped by BBS, so it's important to make
sure that every package meets the requirements.

**Checking build system compatibility...**

* **Checking for blank lines in DESCRIPTION...**
  Checks to make sure there are no blank lines in the DESCRIPTION
  file (`ERROR`).
* **Checking for whitespace in DESCRIPTION field names...**
  Checks to make sure there is no whitespace in DESCRIPTION file field
  names (`ERROR`).
* **Checking that Package field matches dir/tarball name...**
  Checks to make sure that `Package` field of DESCRIPTION file matches
  directory or tarball name (`ERROR`).
* **Checking for Version field...**
  Checks to make sure a `Version` field is present in the DESCRIPTION
  file (`ERROR`).
* **Checking for valid maintainer...**
  Checks to make sure the DESCRIPTION file has either a `Maintainer`
  field, or a valid `Authors@R` field which resolves to a valid
  `Maintainer` (`ERROR`).

  A valid `Authors@R` field consists of:
    * A valid R object of class `person`.
    * Only one person with the `cre` (creator) role.
    * That person must have a syntactically valid email address.
    * That person must have either `family` or `given` name defined.

<!--* **Checking for valid development URL in DESCRIPTION...**
  Checks to make sure the DESCRIPTION file has a valid github
  `DevelopmentURL` field, if missing resolves to an (`ERROR`) -->

## Unit Test Checks

**Checking unit tests...**

We strongly recommend unit tests, though we do not at present require
them. For more on what unit tests are, why they are helpful, and how
to implement them, read our [Unit Testing HOWTO][5].

[5]: http://www.bioconductor.org/developers/how-to/unitTesting-guidelines/

At present we just check to see whether unit tests are present, and if not,
urge you to add them (`NOTE`).

## Coding Practices Checks

**Checking coding practices...**

Checks to see whether certain programming practices are found in the R
directory.

* We recommend that `vapply()` be used instead of `sapply()`. Problems
  arise when the `X` argument to `sapply()` has length 0; the return
  type is then a `list()` rather than a vector or array. (`NOTE`)

* We recommend that `seq_len()` or `seq_along()` be used instead of
  `1:...`. This is because the case `1:0` creates the sequence `c(1, 0)`
  which may be an unexpected or unwanted result (`NOTE`).

* **Checking for T...** **Checking for F...**
  It is bad practice to use `T` and `F` for `TRUE` and `FALSE`.  This
  is because `T` and `F` are ordinary variables whose value can be
  altered, leading to unexpected results, whereas the value of `TRUE`
  and `FALSE` cannot be changed  (`WARNING`).

* Avoid `class()==` and `class()!=` instead use `is()`. (`WARNING`)

* Use `system2()` over `system()`. 'system2' is a more portable and
  flexible interface than 'system'.(`NOTE`)

* Use of `set.seed()` in R code.  The `set.seed` should not be set in
  R functions directly. The user should always have the option for
  the set.seed and know when it is being invoked. (`WARNING`)

## Native Routine Registration Checks

**Checking native routine registration...**

Calls to native (C or Fortran) code entry points should be registered
with R; see [Writing R Extensions][6] (`ERROR`).

[6]: http://cran.r-project.org/doc/manuals/r-release/R-exts.html#Registering-native-routines

## Namespace Import Suggestion Checks

**Checking for namespace import suggestions...**

If the package `codetoolsBioC` is installed, `BiocCheck` will run it
to see if it has suggestions for the "Imports" section of your package
NAMESPACE.

`codetoolsBioC` is an experimental package that is not presently
available via `BiocManager::install()`. It is available from our
[Subversion repository][7] with the credentials readonly/readonly.
Output of codetoolsBioC is printed to the screen but `BiocCheck` does
not label it ERROR, WARNING, or NOTE.

[7]: https://hedgehog.fhcrc.org/bioconductor/trunk/madman/Rpacks/codetoolsBioC

## Deprecated Package Checks

**Checking for deprecated package usage...**

At present, this looks to see whether your package has a dependency on
the `multicore` package (`ERROR`).

Our recommendation is to use [BiocParallel][7.1]. Note that 'fork'
clusters do not rpovide any gain from parallelizing code on
Windows. Socket clusters work on all operating systems.

[7.1]: https://bioconductor.org/packages/BiocParallel

## Code Parsing Checks

`BiocCheck` parses the code in your package's R directory, and in
evaluated man page and vignette examples to look for various symbols,
which result in issues of varying severity.

**Checking parsed R code in R directory, examples, vignettes...**

* **Checking for browser()...**
  `browser()` causes the command-line R debugger to be invoked, and
  should not be used in production code (though it's OK to wrap such
  calls in a conditional that evaluates to TRUE if some debugging
  option is set)  (`WARNING`).
* **Checking for <<-...**
  Non-local assignment using `<<-` is bad practice. It can over-write
  user-defined symbols, and introduces non-linear paths of evaluation
  that are difficult to debug (`NOTE`).
* **Checking for library/require of *(your package name)*...** (`ERROR`)
  It is not necessary to call `library()` or `require()` on your own
  package within code in the R directory or in man page examples. In
  these contexts, your package is already loaded.
* **Checking for direct slot access...**
  `BiocCheck` checks for direct slot access (via `@` or `slot()`) to
  S4 objects in vignette and example code. This code should **always**
  use accessors to interact with S4 classes. Since you may be using S4
  classes (which don't provide accessors) from another package, the
  severity is only `NOTE`. But if the S4 object is defined in your
  package, it's **mandatory** to write accessors for it and to use
  them (instead of direct slot access) in all vignette and example
  code (`NOTE`).

## DESCRIPTION/NAMESPACE consistency checks

**Checking DESCRIPTION/NAMESPACE consistency...**

`BiocCheck` detects packages that are imported in NAMESPACE but not
DESCRIPTION, or vice versa, and provides an explanation of how to fix
this (`ERROR`).

## Function length checking

**Checking function lengths**

`BiocCheck` prints an informative message about the length (in lines)
of your five longest functions (this includes functions in your R
directory and in evaluated man page and vignette examples).

`BiocCheck` does not assign severity to long functions, but you may
want to consider breaking up long functions into smaller ones. This is
a basic refactoring technique that results in code that's easier to
read, debug, test, reuse, and maintain.

## man page checking

**Checking man pages...**

Every man page must have a non-empty `\value` section. (`ERROR`)

## Runnable Examples Checking

**Checking exported objects have runnable examples...**

`BiocCheck` looks at all man pages which document exported objects and
lists the ones that don't contain runnable examples (either because
there is no `examples` section or because its examples are tagged with
`dontrun` or `donttest`). Runnable examples are a key part of literate
programming and help ensure that your code does what you say it does.

* Checks that at least 80% of man pages must have runnable examples (`ERROR`).
* Checks that, if more than 80% of the man pages have runnable
  examples, but some are still missing, `BiocCheck` lists the missing
  ones and asks you to add runnable examples to them (`NOTE`).

## NEWS checks

**Checking package NEWS...**

`BiocCheck` looks to see if there is a valid NEWS file (NEWS or
NEWS.Rd) either in the 'inst' directory or in the top-level directory
of your package, and checks whether it is properly formatted (`NOTE`).

NEWS files are a good way to keep users up-to-date on changes to your
package. Excerpts from properly formatted NEWS files will be included
in _Bioconductor_ release announcements to tell users what has changed
in your package in the last release. In order for this to happen, your
NEWS file must be formatted in a specific way; you may want to
consider using an `inst/NEWS.Rd` file instead as the format is more
well-defined.

More information on NEWS files is available in the help topic `?news`.

## Formatting checks

**Checking formatting of DESCRIPTION, NAMESPACE, man pages, R source,
  and vignette source...**

There is no 100% correct way to format code. These checks adhere to the
[_Bioconductor_ Style Guide][8] (`NOTE`).

[8]: http://www.bioconductor.org/developers/how-to/coding-style/

We think it's important to avoid very long lines in code.  Note that
some text editors do not wrap text automatically, requiring horizontal
scrolling in order to read it. Also note that R syntax is very
flexible and whitespace can be inserted almost anywhere in an
expression, making it easy to break up long lines.

These checks are run against not just R code, but the DESCRIPTION and
NAMESPACE files as well as man pages and vignette source files.  All
of these files allow long lines to be broken up.

The output of this check includes the first 6 offending lines of code;
see more with `BiocCheck:::checkFormatting("path/to/YourPackage",
nlines=Inf)`.

## Canned Comments check

**Checking for canned comments in man pages...**

It can be handy to generate man page skeletons with `prompt()` and/or
RStudio. These skeletons contain comments that look like this:

    %%  ~~ A concise (1-5 lines) description of the dataset. ~~

`BiocCheck` asks you to remove such comments (`NOTE`).

## Duplication checks

* **Checking if package already exists in CRAN...**

  A package with the same name (case differences are ignored) cannot
  exist in CRAN (`ERROR`).
* **Checking if new package already exists in _Bioconductor_...**
  Only run if the `--new-package` flag is turned on.  A package
  with the same name (case differences are ignored) cannot  exist in
  _Bioconductor_ (`ERROR`).

## bioc-devel Subscription Check

**Checking for bioc-devel mailing list subscription...**

This only applies if `BiocCheck` is run on the _Bioconductor_ build
machines, because this step requires special authorization.

* Check that the email address in the Maintainer (or Authors@R) field
  is subscribed to the bioc-devel mailing list (`ERROR`).

  All maintainers must subscribe to the bioc-devel mailing list, with
  the email address used in the DESCRIPTION file.  You can subscribe
  [here][9].

[9]: https://stat.ethz.ch/mailman/listinfo/bioc-devel

## Support Site Registration Check

**Checking for support site registration...**

* Check that the package maintainer is register at our
  [support site][10] using the same email address that is in the
  `Maintainer` field of their package `DESCRIPTION` file (`ERROR`).

  The main place people ask questions about _Bioconductor_ packages is
  the support site.  Please [register][11] and then optionally include
  your (lowercased) package name in the list of [watched tags][12].
  When a question is asked and tagged with your package name, you'll
  get an email. (If you don't add your package to the list of watched
  tags, this will be automatically done for you).

[10]: https://support.bioconductor.org
[11]: https://support.bioconductor.org/accounts/signup/
[12]: https://support.bioconductor.org/profile/#div_id_watched_tags

# `BiocCheckGitClone`


`BiocCheckGitClone` provides a few additional _Bioconductor_ package checks that
can only should be run on a open source directory (raw git clone) NOT a
tarball. Reporting similarly in three categories as discussed above:

* **ERROR**.

* **WARNING**.

* **NOTE**.

# Using `BiocCheckGitClone`

Most commonly you will use BiocCheckGitClone from your operating system command
line, as

    R CMD BiocCheckGitClone package

Where `package` is a directory containing an R package.

`BiocCheckGitClone` can also be run interactively:


```{r eval=FALSE}
library(BiocCheck)
BiocCheckGitClone("packageDir")
```

# Installing `BiocCheckGitClone`

Please see previous Installing `BiocCheck` section.

# Interpreting `BiocCheckGitClone` output

Actual `BiocCheckGitClone` output is shown below in **bold**.

## Bad File Check

**Checking valid files**

There are a number of files that should not be git tracked. This check notifies
if any of these files are present (`ERROR`)

The current list of files checked is as follows:

```
    hidden_file_ext = c(".renviron", ".rprofile", ".rproj", ".rproj.user",
		       ".rhistory", ".rapp.history",
		       ".o", ".sl", ".so", ".dylib",
		       ".a", ".dll", ".def",
		       ".ds_store", "unsrturl.bst",
		       ".log", ".aux",
		       ".backups", ".cproject", ".directory",
		       ".dropbox", ".exrc", ".gdb.history",
		       ".gitattributes", ".gitmodules",
		       ".hgtags",
		       ".project", ".seed", ".settings", ".tm_properties")
```

These files may be included in your personal directories but should be added to
a `.gitignore` file so they are not git tracked.
