The 'AIPW' package implements the augmented inverse probability weighting, a doubly robust estimator, for average causal effect estimation with user-defined stacked machine learning algorithms. To cite the 'AIPW' package, please use: "Yongqi Zhong, Edward H. Kennedy, Lisa M. Bodnar, Ashley I. Naimi (2021). AIPW: An R Package for Augmented Inverse Probability Weighted Estimation of Average Causal Effects. American Journal of Epidemiology. <doi:10.1093/aje/kwab207>". Visit: <https://yqzhong7.github.io/AIPW/> for more information.

An R console utility that lets you ask R related questions to the
    'OpenAI' large language model. It can answer how-to questions by  
    providing code, and what-is questions by explaining what given code does.
    You must provision your own key for the 'OpenAI' API 
    <https://platform.openai.com/docs/api-reference>.

Tools for downloading hourly averages, daily maximums and
    minimums from each of the pollution, wind, and temperature measuring
    stations or geographic zones in the Mexico City metro area. The
    package also includes the locations of each of the stations and zones.
    See <http://aire.cdmx.gob.mx/> for more information.

Model that assesses daily exposure to air pollution, which considers daily population mobility on a geographical scale and the spatial and temporal variability of pollutant concentrations, in addition to traditional parameters such as exposure time and pollutant concentration.

Hydrological modelling tools developed at INRAE-Antony (HYCAR Research Unit, France). The package includes several conceptual rainfall-runoff models (GR4H, GR5H, GR4J, GR5J, GR6J, GR2M, GR1A) that can be applied either on a lumped or semi-distributed way. A snow accumulation and melt model (CemaNeige) and the associated functions for the calibration and evaluation of models are also included. Use help(airGR) for package description and references.

Sample of hydro-meteorological datasets extracted from the 'CAMELS-FR' French database <https://hal.inrae.fr/hal-03687235>. It provides metadata and catchment-scale aggregated hydro-meteorological time series on a pool of French catchments for use by the 'airGR' packages.