NEWS.md

In skgrange/rmweather: Tools to Conduct Meteorological Normalisation and Counterfactual Modelling for Air Quality Data

rmweather 0.2.5

• Include other usage mode in package description and add a citation

• Enhance rmw_predict_nested_sets to allow for the calculation of partial dependencies if desired with a new partial argument

• Enhance rmw_partial_dependencies to allow for control of number of predictions with a new resolution argument

• Move all messaging to the cli package

• Add keep_samples to rmw_normalise

• Move to purrr's map and list_rbind method rather than map_dfr

• rmw_normalise's n_sample return will now be an integer

• Move all errors to cli_abort

• Move back to the base ifelse rather than dplyr::if_else due an operation on a NULL that was causing an error

rmweather 0.2.4

• Make rmw_calculate_model_errors calculate n and n_all

• Add name tags to the NULL functions

• Add nested tibble functions to help with running multiple models

• Allow the use of 0 samples in rmw_do_all

• Enhance rmw_calculate_model_errors to return further error statistics

• Add max_cores argument to system_cpu_core_count

• Add rmw_predict_nested_sets_by_year

• Add as_long argument to rmw_calculate_model_errors

  • tidyr has been added as an import for this functionality

rmweather 0.1.51

• Correct a failing unit test for some Linux distributions.

rmweather 0.1.5

• Minor changes to improve compatibility with dplyr 1.0.0.

• Update package's data and alter format where pollutants are in a "long" format.

rmweather 0.1.4

• Replace deprecated data_frame with tibble

• Replace deprecated funs with ~

• Allow rmw_plot_test_prediction to not fix axes, useful for facetting after the plot has been generated

• Minor logic change to rmw_predict to handle tibble's non-dropping behaviour

rmweather 0.1.3

• Example data are now tibbles, not data frames

• Add citation file with two publications

• Enhance description file to contain new publication

rmweather 0.1.2

• Add tolerance to an R^2 unit test for some flavours of Linux used on the CRAN networks

• The enhancement of a number of functions to allow for the estimation of uncertainty/errors of predictions

• Convenient plotting functions now have colour arguments

• Normalised predictions can now be returned without being aggregated

• Add na.rm argument to data preparing function to avoid imputing of the dependent variable

• Add replace argument to data preparing function so generated variables replace existing variables of the same name if they exist

• Add variables_sample argument to rmw_do_all to allow for a user to choose which variables to be sampled for the normalisation step

rmweather 0.1.1

• Resubmission after failure to pass CRAN's manual checks

  • Expanded the package's description and added a reference which uses the method to conduct an example analysis (https://doi.org/10.5194/acp-18-6223-2018)

  • Added two new data objects

  • Replaced \dontrun{} with \donttest{} for examples

rmweather 0.1.0

• First CRAN submission

skgrange/rmweather documentation built on Nov. 29, 2023, 2:39 a.m.