ClimMobTools 0.4.6 (2022-08-11)

ClimMobTools 0.4.5 (2021-02-14)

Add argument userowner = to getDataCM() to specify the owner of a given ClimMob project
Fix API call getProjectsCM()

Fix an issue in randomise() to check for unbalanced designs
Remove dependency to “PlackettLuce” and “climatrends” to avoid errors in CRAN check for Windows

randomise() deals with unbalanced proportions of technologies, meaning that we can test a whole set of technologies even when not all have equal availability
rmGeoIdentity() is added to offer an approach to remove geographical identity of participants
rankTricot() builds a PlackettLuce rankings using the tricot data

Method for as.data.frame() now handles ClimMob data without the assessment info.
as.data.frame() decodes values from categorical variables
as.data.frame() decodes ties in the ranking data
Handle alternative server addresses

Imports ‘PlackettLuce’ and ‘climatrends’ by default
Use httr::RETRY() instead of httr::GET() as suggested by Anna Vasylytsya
A print() method is added
New integration with the ‘testing’ server enabling to gather data from this server with the argument server
Minor changes in documentation

Migrating functions from ClimMobTools to gosset and climatrends. ClimMobTools will keep only the functions exclusively related to the ‘ClimMob’ platform. Other functions are transferred to gosset and climatrends to provide a better environment for data handling, analysis and visualization.
Retain function getDataCM(), getProjectCM(), randomise() and seed_need()
Changes in package description
A S3 method as.data.frame() is provided to coerce CM_list into a data frame
Internal functions for pivoting data.frames to avoid dependencies
Change license to MIT

Update build_rankings to work with the new implementations of PlackettLuce v0.2-8