- Change
seq_len
pipeline inrmw_nest_for_modelling
to avoid installation note
-
Move to GitHub actions with R-hub v2 for testing
-
Add progress bars to several nested functions
-
Add
rmw_normalise_nested_sets
-
Change default of model error calculations to only use test set
-
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 newpartial
argument -
Enhance
rmw_partial_dependencies
to allow for control of number of predictions with a newresolution
argument -
Move all messaging to the cli package
-
Add
keep_samples
tormw_normalise
-
Move to purrr's
map
andlist_rbind
method rather thanmap_dfr
-
rmw_normalise
'sn_sample
return will now be an integer -
Move all errors to
cli_abort
-
Move back to the base
ifelse
rather thandplyr::if_else
due an operation on aNULL
that was causing an error
-
Make
rmw_calculate_model_errors
calculaten
andn_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 tosystem_cpu_core_count
-
Add
rmw_predict_nested_sets_by_year
-
Add
as_long
argument tormw_calculate_model_errors
- tidyr has been added as an import for this functionality
- Correct a failing unit test for some Linux distributions.
-
Minor changes to improve compatibility with dplyr 1.0.0.
-
Update package's data and alter format where pollutants are in a "long" format.
-
Replace deprecated
data_frame
withtibble
-
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
-
Example data are now tibbles, not data frames
-
Add citation file with two publications
-
Enhance description file to contain new publication
-
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 tormw_do_all
to allow for a user to choose which variables to be sampled for the normalisation step
-
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
-
- First CRAN submission