As a successor of the packages 'BatchJobs' and
    'BatchExperiments', this package provides a parallel implementation of
    the Map function for high performance computing systems managed by
    schedulers 'IBM Spectrum LSF'
    (<https://www.ibm.com/products/hpc-workload-management>), 'Univa Grid
    Engine'/'Oracle Grid Engine'
    (<https://altair.com/hpc-cloud-applications/>), 'Slurm'
    (<https://slurm.schedmd.com/>), 'TORQUE/PBS'
    (<https://adaptivecomputing.com/cherry-services/torque-resource-manager/>),
    or 'Docker Swarm' (<https://docs.docker.com/engine/swarm/>).  A
    multicore and socket mode allow the parallelization on a local
    machines, and multiple machines can be hooked up via SSH to create a
    makeshift cluster. Moreover, the package provides an abstraction
    mechanism to define large-scale computer experiments in a
    well-organized and reproducible way.

Compute bounds for the treatment effect 
    after adjusting for the presence of omitted variables in linear  
    econometric models, according to the method of Basu (2022) <arXiv:2203.12431>. 
    You supply the data, identify the outcome and 
    treatment variables and additional regressors. The main functions
    will compute bounds for the bias-adjusted treatment effect. Many
    plot functions allow easy visualization of results.

Survey systems and other third-party data sources commonly use non-standard representations of logical values when
    it comes to qualitative data - "Yes", "No" and "N/A", say. batman is a package designed to seamlessly convert these into logicals.
    It is highly localised, and contains equivalents to boolean values in languages including German, French, Spanish, Italian,
    Turkish, Chinese and Polish.

Real-time quantitative polymerase chain reaction (qPCR) data
    sets by Batsch et al. (2008) <doi:10.1186/1471-2105-9-95>. This package
    provides five data sets, one for each PCR target: (i) rat SLC6A14,
    (ii) human SLC22A13, (iii) pig EMT, (iv) chicken ETT, and (v) human
    GAPDH. Each data set comprises a five-point, four-fold dilution series.
    For each concentration there are three replicates. Each amplification curve
    is 45 cycles long. Original raw data file:
    <https://static-content.springer.com/esm/art%3A10.1186%2F1471-2105-9-95/MediaObjects/12859_2007_2080_MOESM5_ESM.xls>.