An R package to conduct meteorological/weather normalisation on air quality data

add_date_variables | Function to transform a parsed 'date' variable into other... |

calculate_model | Function to model pollutant concentrations based on... |

clip_edges | Function to "clip" the edges of a time-series. |

deseasonalise_stl | Function to decompose a monthly time series with loess. |

detect_breakpoints | Function to detect breakpoints in a data frame. |

ggtest_prediction | Function to use the testing set in a *normalweatherr_model*... |

normalise_for_meteorology | Function to normalise a concentration variable based on... |

normalise_variables | Function to normalise for meteorology for many variables. |

pipe | Psudo-function to re-export *magrittr*'s pipe. |

predict_using_test_set | Function to use a test set for predictions within a... |

random_rows | Function to get a vector of random rows for data frame... |

reexports | Objects exported from other packages |

register_cores | Function to register parallel backend. |

split_input_data | Function to split an input data frame into training and... |

theil_sen_trend_test | Function to test a time series with the Theil-Sen estimator. |

theil_sen_trend_vector | Function to calculate a trend vector for a time series. |

wday_monday | Function to get weekday number from a date where '1' is... |

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