r2dii.analysis 0.1.8

• target_market_share() now correctly outputs target technology share, in
  line with methodology (@georgeharris2deg #277).

• target_market_share() now correctly projects technology share as
  'production / total production' when computing by company,
  unweighted by relative loan size (@KapitanKombajn #288).

• target_market_share() no longer outputs columns
  sector_weighted_production or technology_weighted_production. Those
  columns are internal so they shouldn't face users (#291).

r2dii.analysis 0.1.6

• target_market_share() now correctly outputs technology_share with
  multiple loans at different level to the same company (@ab-bbva #265).

r2dii.analysis 0.1.5

• target_market_share() now errors if input data has an unexpected column
  (@georgeharris2deg #267).

• target_market_share() now correctly outputs technology_share with
  multiple loans to the same company (@georgeharris2deg #262, @ab-bbva #265).

r2dii.analysis 0.1.4

• target_market_share() now correctly outputs unweighted production by
  company, equal to ald-production for one company with multiple loans of
  different size (#255 @georgeharris2deg).

r2dii.analysis 0.1.3

• target_market_share() now correctly outputs unweighted production when
  multiple levels exist for the same company (#249).

r2dii.analysis 0.1.2

• target_market_share() now outputs weighted_technology_share that
  correctly sums to 1 when grouped by sector, metric and secnario (#218).

• target_market_share() now correctly outputs unweighted production when
  multiple loans exist for the same company (#239).

• target_market_share() now outputs empty named tibble if no matching region
  definitions can be found (#236).

• target_market_share now outputs all technologies present in ald, even if
  they are not present in data (#235).

• target_sda() now interpolates input scenario file by year and correctly
  calculates target, regardless of the time-horizon of ald (#234).

• Hyperlinks on the "Get Started" tab of the website now points to correct links
  (#222 @apmanning).

• Depend on dplyr >= 0.8.5, explicitly. We commit to this version because the
  newer dplyr 1 is still relatively new, and represents a major change which
  some users initially resist.

• Relax dependency on rlang, as it is mostly driven dynamically by the
  by our recursive dependencies. For example, dplyr 0.8.5 depends on a specific
  version of rlang that is more recent than the version we explicitly
  depended on -- which suggests that being explicit about rlang is unhelpful and
  misleading.

• New internal data loanbook_stable and region_isos_stable make regression
  tests more stable (#227).

r2dii.analysis 0.1.1

• Change license to MIT.

• The website's home page now thanks founders.

• target_market_share() now works as expected when some value of the column
  scenario is missing for some value of the column region. It no longer
  results in output columns production and technology_share of type "list"
  (#203).

• The website now shows the News tab.

r2dii.analysis 0.1.0

• target_sda() now correctly handles differing country_of_domicile inputs
  (#171).

• target_market_share() now outputs technology_share (#184).

• join_ald_scenario() now returns visibly with dev-magrittr (#188 @lionel-).

• target_market_share() gains weight_production parameter (#181).

• target_market_share() now correctly use sector_ald column from input
  data argument (#178).

• target_sda() now automatically filters out ald rows where the
  emissions_factor values are NA (#173).

• join_ald_scenario() now converts to lower case the values of the columns
  sector_ald and technology (#172).

• target_sda() now aggregates input ald by technology and plant_location
  prior to calculating targets (@QianFeng2020 #160).

• target_sda() now errors if input data has any duplicated id_loan
  (@QianFeng2020 #164).

• target_sda() gains by_company parameter (#155).

• target_market_share() now outputs the actual aggregated corporate economy.
  Previously, the output would, erroneously, be normalized to the starting
  portfolio value (#158).

• target_sda() now correctly calculates SDA targets (#153):
  Targets are now calculated using scenario data that is adjusted to corporate
  economy data.
  The adjusted scenario data is also output by the function along with the usual
  metrics.
  Methodology error fixed, and reflected in the code. Previously, the target
  was, incorrectly, calculated by multiplying the adjusted scenario. Now the
  scenario data is added instead.

• New summarize_weighted_percent_change() allows user to calculate a new
  indicator (#141).

• target_market_share() no longer errors if the combination of sector and
  scenario_target_value does not uniquely identify an observation
  (@georgeharris2deg #142).

r2dii.analysis 0.0.1

• First release on CRAN