Add r-dsb recipe

[JohannesGawron]

Add recipe for r-dsb package (cran package with Bioconductor dependencies)

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Instructions for avoiding API, ABI, and CLI breakage issues

Conda is able to record and lock (a.k.a. pin) dependency versions used at build time of other recipes.
This way, one can avoid that expectations of a downstream recipe with regards to API, ABI, or CLI are violated by later changes in the recipe.
If not already present in the meta.yaml, make sure to specify run_exports (see here for the rationale and comprehensive explanation).
Add a run_exports section like this:

build:
  run_exports:
    - ...

with ... being one of:

Case	run_exports statement
semantic versioning	{{ pin_subpackage("myrecipe", max_pin="x") }}
semantic versioning (0.x.x)	{{ pin_subpackage("myrecipe", max_pin="x.x") }}
known breakage in minor versions	{{ pin_subpackage("myrecipe", max_pin="x.x") }} (in such a case, please add a note that shortly mentions your evidence for that)
known breakage in patch versions	{{ pin_subpackage("myrecipe", max_pin="x.x.x") }} (in such a case, please add a note that shortly mentions your evidence for that)
calendar versioning	{{ pin_subpackage("myrecipe", max_pin=None) }}

while replacing "myrecipe" with either name if a name|lower variable is defined in your recipe or with the lowercase name of the package in quotes.

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[JohannesGawron]

@BiocondaBot please add label

[rpetit3]

@BiocondaBot please fetch artifacts

[BiocondaBot]

Package(s) built are ready for inspection:

Arch	Package	Zip File / Repodata	CI	Instructions
noarch	r-dsb-1.0.3-r43h3121a25_0.tar.bz2	LinuxArtifacts.zip	Azure	show You may also use conda to install after downloading and extracting the zip file. From the LinuxArtifacts directory: conda install -c ./packages <package name>

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Docker image(s) built:

Package	Tag	CI	Install with docker
r-dsb	1.0.3--r43h3121a25_0	Azure	show Images for Azure are in the LinuxArtifacts zip file above.gzip -dc LinuxArtifacts/images/r-dsb:1.0.3--r43h3121a25_0.tar.gz | docker load