n_scaled()
Custom()
with methods
for coins and purses.by_df
and w
by aggregation level in Aggregate.coin()
stats::aprox()
.i_median_grp()
impute_panel()
iMeta
, added more explanation and examples in the normalisation vignette.I have skipped a number of version number iterations. Here's what's changed since last time:
Dev version of COINr until next CRAN submission!
Treat()
now catches errors - data frame/coin/purse methods Lots of small fixes and feature extensions, including
COINr::func_Name
type callsSome new functions and bug fixes:
get_trends()
function for analysing time trendsMajor update to COINr. The main changes are as follows:
The full changes are too extensive to write here. See vignette("v1")
also available online here for a more complete description of changes.
Note that these changes are disruptive but greatly improve the package and make it more maintainable for the future. This is a one-off major overhaul, after which backwards compatibility will be ensured.
aggregate()
which was wrongly assigning weights in some circumstances (note this is a fairly
significant bug - worth re-running your results as it may have affected them)plotframework()
compareDF()
(resulting from tibbles vs data frames)sensitivity()
causing trouble with running SA with no weights uncertainty specifiedplotIndDot()
for plotting single indicators with possibility to label unitsprint
method for COIN class. More methods to come.assemble()
. This can now output multiple COINs structured into a tibble. The idea of working with multiple COINs will be extended in future versions.aggregate()
function.plotCorr()
plus fixed variable orderingplotCorr()
plotCorr()
now matches grouping in higher levelsgetPCA()
plotSARanks()
ourankMatrix()
aggregate()
replaceDF()
which is a simple utility for multiple values in one go for a data frame.removeElements()
which successively removes indicators or aggregates one at a time and summarises the effects.extractYear
which allows panel data to be passed to assemble()
and (optionally) imputed by latest year.plorCorr()
and getCorr()
WorldDenoms
data set slightly to only use ASCII coding - this involved unfortunately removing a few accents on country names which is necessary to avoid warning notes when submitting to CRAN.compareDF()
Fixes following comments from CRAN.
This is the first release submitted to CRAN. Changes include:
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