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

DoubleML 0.3.0

• Use active bindings in the R6 OOP implementation #106 & #93
• Fix the aggregation formula for standard errors from repeated cross-fitting #94 & #95
• Always use the same bootstrap algorithm independent of dml1 vs dml2 and consistent with docu and paper #98 & #99
• Initialize predictions with NA and make sure that there are no missleading entries in the evaluated score functions #96 & #105
• Avoid overriding learner parameters during turing #83 & #84
• Fixes in the exception handling and extension of the unit tests for the score function choice #82
• Prevent overwriting parameters from initialization when calling set_ml_nuisance_params #87 & #89
• Major refactoring and cleanup and extension of the unit test framework #101
• Extension and reorganization of exception handling for DoubleMLData objects #63 & #90
• Introduce style guide and clean up code #80 & #81
• Adaption to be compatible with an API change in the next mlr3 release #103
• Run unit tests with mlr3 in dev version on github actions #104
• Updated the citation info #78, #79 & #86
• Added a short version of and a reference to the arXiv paper as vignette #110 & #113
• Prevent using the subclassed methods check_score and check_data when constructing DoubleML objects #107
• Other refactoring and minor adaptions #91, #92, #102 & #108

DoubleML 0.2.1

• Provide an option to store & export the first-stage predictions #74
• Reduce and refine messaging to the console during estimation #72
• Fix bug in IIVM model if the IV variable is not named z #75
• Fix failing unit test #71
• Added the package logo to the doc