DoubleML 1.0.2

• Add sample selection models, thanks to new contributor Petra Jasenakova @petronelaj
  R #213
• Maintenance including updates to GitHub workflows
  R #205
  R #220

DoubleML 1.0.1

Maintenance (upcoming breaking changes from paradox package), thanks to new contributor Martin Binder @mb706 R #195 R #198

(This GitHub release is issued with some delay)

DoubleML 1.0.0

• Update citation info to publication in Journal of Statistical Software, rename helper function and fix links and GH actions #191

DoubleML 0.5.3

DoubleML 0.5.3

• Add documentation for estimated models for nuisance parameters #181
• New contributor @SvenKlaassen
• Maintenance #179

DoubleML 0.5.2

• Store estimated models for nuisance parameters #169
• New maintainer of the CRAN package DoubleML @PhilippBach
• Maintenance #170 #173 #174 #177 #178

DoubleML 0.5.1

• Fix a CRAN issue (html checks) by regenerating .Rd-files with the newest version of roxygen2 #166 #167 #168

DoubleML 0.5.0

• Implement a new score function score = 'IV-type' for the PLIV model (for details see #161)
  --> API change from DoubleMLPLIV$new(obj_dml_data, ml_g, ml_m, ml_r [, ...]) to DoubleMLPLIV$new(obj_dml_data, ml_g, ml_m, ml_r, ml_g [, ...])
• Adapt the nuisance estimation for the 'IV-type' score for the PLR model (for details see #161)
  --> API change from DoubleMLPLR$new(obj_dml_data, ml_g, ml_m [, ...]) to DoubleMLPLR$new(obj_dml_data, ml_l, ml_m, ml_g [, ...])
• Use task_type instead of learner_class to identify whether a learner is meant to regress or classify (this change makes it possible to easily integrate pipelines from mlr3pipelines as learner for the nuisance functions) #141
• Add Contribution Guidelines, issue templates, a pull request template and a discussion forum to the R package repository #142 #146 #147
• Allow the usage of classifiers for binary outcome variables in the model classes IRM and IIVM #114
• Bug fixes and maintenance #155 #156 #157 #158 #160 #163

DoubleML 0.4.1

• Prevent usage of glmnet learner for unit testing as recommended by CRAN (failing tests on Solaris) #137
• Prepare for the upcoming release of checkmate which is not backward compatible with our unit tests #134

DoubleML 0.4.0

• Release highlight: Clustered standard errors for double machine learning models #119
• Apply styler as described in the wiki (https://github.com/DoubleML/doubleml-for-r/wiki/Style-Guidelines) and add a corresponding CI on github actions #120 #122
• Other refactoring, bug fixes and documentation updates #127 #129 #130 #131 #132 #133

DoubleML 0.3.1

• Initialize all numeric matrices, vectors and arrays with the correct data type by using NA_real_ instead of NA #115
• Replace a print() call with cat() #115