base-functions | Pseudo-function to re-export functions from the *stats*... |
data_london | Example observational data for the *rmweather* package. |
data_london_normalised | Example of meteorologically normalised data for the... |
dplyr-functions | Pseudo-function to re-export *dplyr*'s common functions. |
model_london | Example *ranger* random forest model for the *rmweather*... |
pipe | Pseudo-function to re-export *magrittr*'s pipe. |
rmw_calculate_model_errors | Function to calculate observed-predicted error statistics. |
rmw_clip | Function to "clip" the edges of a normalised time series... |
rmw_do_all | Function to train a random forest model to predict (usually)... |
rmw_find_breakpoints | Function to detect breakpoints in a data frame using a linear... |
rmw_model_nested_sets | Function to train random forest models using a nested tibble. |
rmw_model_statistics | Functions to extract model statistics from a model calculated... |
rmw_nest_for_modelling | Function to nest observational data before modelling with... |
rmw_normalise | Function to normalise a variable for "average" meteorological... |
rmw_normalise_nested_sets | Function to normalise a variable for "average" meteorological... |
rmw_partial_dependencies | Function to calculate partial dependencies after training... |
rmw_plot_importance | Function to plot random forest variable importances after... |
rmw_plot_normalised | Function to plot the meteorologically normalised time series... |
rmw_plot_partial_dependencies | Function to plot partial dependencies after calculation by... |
rmw_plot_test_prediction | Function to plot the test set and predicted set after... |
rmw_predict | Function to predict using a *ranger* random forest. |
rmw_predict_nested_partial_dependencies | Function to calculate partial dependencies from a random... |
rmw_predict_nested_sets | Function to make predictions from a random forest models... |
rmw_predict_nested_sets_by_year | Function to make predictions by meteorological year from a... |
rmw_predict_the_test_set | Functions to use a model to predict the observations within a... |
rmw_prepare_data | Function to prepare a data frame for modelling with... |
rmw_train_model | Function to train a random forest model to predict (usually)... |
system_cpu_core_count | Function to return the system's number of CPU cores. |
wday_monday | Function to get weekday number from a date where '1' is... |
zzz | Squash the global variable notes when building a package. |
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