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ShinyAppBuilder v1.1.1 has been released. This is a new HADES package that lets you build shiny apps that combine multiple modules from OhdsiShinyModules or custom modules that match the module standards.
There is code for creating shiny apps for shiny servers or opening the shiny app locally.
ResultModelManager v0.3.0 has been released.
This release added functionality for uploading results data sets to servers in a robust manner, conforming to a results schema data.frame definition.
For a usage guide on this new functionality, please see this article.
CohortExplorer v0.0.11 has been updated. Just routine clean up so that github actions doesn’t complain 
And ofcourse 100% test coverage
ROhdsiWebApi 1.3.2 has been released. This contains some minor changes to allow the released version to pass R Check again.
DataQualityDashboard 2.1.1 has been released. This is the first release of the package which meets all HADES requirements, and hereafter DQD will be a part of HADES.
DataQualityDashboard is an OHDSI mainstay used to evaluate and expose data quality in an OMOP CDM instance. It’s an R package that includes an R shiny application which can be used to visualize and explore the results of its data quality evaluations.
The DQD runs a set of data quality checks against the OMOP CDM (it currently supports CDM versions 5.2, 5.3, and 5.4). These checks are highly configurable; they can be toggled off and on and their failure thresholds can be adjusted according to the user’s needs. The thousands of checks in the DQD are grouped into a smaller set of data quality “check types” which each represent a singular data quality idea. Each check type corresponds to a parameterized SQL query into which OMOP tables, fields, and concepts are substituted to create an individual data quality check.
The threshold files used to configure checks and their failure thresholds can be shared amongst institutions to facilitate consistent use of the DQD for network-level projects. Similarly, the results of a DQD run are portable and can be stored in json, csv, and/or a database table.
For a comprehensive overview of the DataQualityDashboard, please see the package website here. Questions and bug reports can be submitted on our issue tracker here. I’ll be on point as the package maintainer but send most credit to @clairblacketer @Frank and other DQ WG members for building the package and supporting the HADES submission
BigKnn 1.0.2 has been released. This adds support for the upcoming Andromeda release (using arrow instead of SQLite in the backend for improved speed).
Capr 2.0.0 has been released. This is a major update overhauling the user-interface of Capr. The intent of the overhaul is to improve the readability of the Capr code. For full details visit the package website. Below is a brief summary of some updates:
cs(). Can build concept sets on the fly (requiring only a name and id) to use in a cohort definition. Improved functionality for handling descendants, mapped and excluded concepts. An example: cs(desecendants(201826L), name = "T2D")
cohort(entry, attrition, exit, era). Stylistically definitions are to be layered as nested functions in order to convey the entire logic within one function. This change improves is intended to improve the readability of the Capr call.DatabaseConnector 6.1.0 has been released. This adds support for DuckDB, fixes some issues related to Java heap memory, and fixes some Snowflake issues (related to DATETIME).
DataQualityDashboard 2.1.2 has been released. This release contains a bug fix for the cdmDataType check SQL.
Andromeda 0.6.2 has been released (on github but not CRAN). This adds one function isAndromedaTable() that should work with both SQLite and Arrow andromeda tables.
Reminder, we are moving to a new backend for Andromeda based on Apache Arrow soon. If your package depends on Andromeda please test it using the Andromeda develop branch and report any issues in the Andromeda issue tracker. You may need to make some slight changes to your code such as using nrow instead of tally to get the number of rows in an Andromeda table.
DeepPatientLevelPrediction 1.1 has been released. This adds adds a number of bug fixes and some new features. The new features are:
learningRate="auto"
Thanks to @lhjohn for his contributions to this release.
Andromeda 0.6.3 has been release on Github and CRAN. This release add isAndromedaTable function that works with both the current andromeda tables (SQLite references) and the Andromeda v1.0 tables (Apache Arrow FileSystemDatasets). Reminder: If you depend on Andromeda please run R check with the development branch (v1.0) and report any issues on the issue tracker.
CohortGenerator v0.8.0 was released a few weeks ago (sorry for the delayed announcement). The release notes are here.
This release of CohortGenerator adds the ability to generate subsets of cohorts. So, for example, if you have a target cohort of new users of a drug, you can use CohortGenerator to define a subset definition to further subset that target based on a combination of demographic criteria, “limit” criteria (i.e. X days of prior observation) and even based on intersection with another cohort definition. Here is the Creating Cohort Subset Definitions vignette if you are interested in the details.
A big thanks to @jpegilbert who lead the development of this important new feature.
Capr v2.0.1 has been released. This is a patch release so no major changes. Updates include:
compile generic function to coerce Capr class to json structurecs print statementPlease keep trying out Capr and posting issues! Feedback always welcome!
CohortDiagnostics version 3.2.0. There are no major api changes in this release so all existing scripts should maintain compatibility with this release.
The main changes are as follows:
Please check the release notes for for details of changes.