In general it is possible to use the SageMaker python SDK and boto3 using the reticulate package in R, However do not have direct examples of SageMaker Pipelines using R.
It is possible to orchestrate the production pipeline using the R Containers for training and serving and setting up the DAG can be done with reticulate and SageMaker Python SDK and can be achieved using the AWS Step Functions. Please refer to the following example for reference.
Redshift ML with multi-container Sagemaker modelasked 2 months ago
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Using R model in SageMaker ML pipelinesAccepted Answerasked 8 months ago
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Savings Plans Applicability to ML instancesAccepted Answerasked 3 years ago
SageMaker Pipelines and CI/CD with GitLab Multiaccountasked 4 months ago
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