From a0b5d4050e33e469c27d3fdd5677b0f607a8425d Mon Sep 17 00:00:00 2001 From: schuemie Date: Thu, 9 May 2024 09:23:22 +0200 Subject: [PATCH] CirceR, Eunomia, and FeatureExtraction now in CRAN. Updating Java installation instructions. --- DESCRIPTION | 7 ++----- NEWS.md | 5 +++++ Rmd/images/downloadJavaWindows.png | Bin 167574 -> 142148 bytes Rmd/packageStatuses.Rmd | 6 +++--- Rmd/rSetup.Rmd | 2 +- Rmd/validation.Rmd | 5 ++++- docs/images/downloadJavaWindows.png | Bin 167574 -> 142148 bytes docs/packageStatuses.html | 8 ++++---- docs/rSetup.html | 2 +- docs/validation.html | 12 +++++++++++- extras/GeneratePackagesPage.R | 2 +- extras/packages.csv | 8 ++++---- 12 files changed, 36 insertions(+), 21 deletions(-) diff --git a/DESCRIPTION b/DESCRIPTION index b125fab..5e90163 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,8 +1,8 @@ Package: Hades Type: Package Title: Health Analytics Data-to-Evidence Suite -Version: 1.13.0 -Date: 2023-05-19 +Version: 1.13.1 +Date: 2024-05-08 Authors@R: c( person("Martijn", "Schuemie", , "schuemie@ohdsi.org", role = c("aut", "cre")), person("Observational Health Data Science and Informatics", role = c("cph")) @@ -52,7 +52,6 @@ Remotes: ohdsi/BigKnn, ohdsi/ROhdsiWebApi, ohdsi/EnsemblePatientLevelPrediction, - ohdsi/FeatureExtraction, ohdsi/CohortDiagnostics, ohdsi/CohortMethod, ohdsi/SelfControlledCaseSeries, @@ -63,9 +62,7 @@ Remotes: ohdsi/PhenotypeLibrary, ohdsi/PheValuator, ohdsi/Hydra, - ohdsi/CirceR, ohdsi/Capr, - ohdsi/Eunomia, ohdsi/CohortGenerator, ohdsi/DeepPatientLevelPrediction, ohdsi/CohortExplorer, diff --git a/NEWS.md b/NEWS.md index c1d38c5..999597c 100644 --- a/NEWS.md +++ b/NEWS.md @@ -1,3 +1,8 @@ +HADES 1.13.1 +============ + +- CirceR, Eunomia, and FeatureExtraction are now in CRAN. 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Go to , and select the Windows 64-bit JDK installer as highlighted below. ![](images/downloadJavaWindows.png) 2. After downloading just run the installer. diff --git a/Rmd/validation.Rmd b/Rmd/validation.Rmd index 742f22a..1049ea4 100644 --- a/Rmd/validation.Rmd +++ b/Rmd/validation.Rmd @@ -8,7 +8,10 @@ output: # Validation -Coming soon... +For validation, HADES mostly relies on an extensive set of unit tests executed as part of its continuous integration. This assures validity on a continuous basis, at every release. A good reference would be our recent HADES paper: + +- Schuemie M, Reps J, Black A, et al. [Health-Analytics Data to Evidence Suite (HADES): Open-Source Software for Observational Research](https://ebooks.iospress.nl/doi/10.3233/SHTI231108) Studies in health technology and informatics. 2024 Jan 25:310:966-970. + # Evaluation diff --git a/docs/images/downloadJavaWindows.png b/docs/images/downloadJavaWindows.png index 77249dca20d50bdc3d3d931a8ac491d823382002..40cb197b77843f4887f2256ee839cd45ce10fe50 100644 GIT binary patch literal 142148 zcmb5UV{~Luw*{JxZ95&?Nd+CVV^nP0X2%`d>bQfBZQDu5wr#%Z@80jd`}d7HHO3kH zRGq!gJ_~crHNzFg)Buy6{ST* zNgbT*%`9z9!N8=#lht7~R7S9Kv=iduromyQ;5y*GDuYYG<%MjZiBVE~5ea8SRXsb( z546TXSegc+LD7?9W7gEsJalR(DlQBJ>Ut)Ew_eb1W?p9UeZC)#`%h-^IbRZi%_}$z z?C7XM{NPs#px|1{W#!@t5k7$ikV4S0fLH41b*5nv5g{Ak*?j74tb_fm=r|#rdolm? zXUy;s7C-@`z~6E46JSQ!2?EXtD%ljxo~Z~@gTT*hF`qnGFjwe)0Z-4wC)5&Q8wlHe)Umtt zW5FYn4>@*Usl>4f!rq9M;mGelSoE{TvLF15cl}e_b&h|b&})=xCd6qhXBlqT?aRU^ z8q)Q5!FB43O?^Z>bR1h!GLTQ0%r>V1JI=Rph@2lqqPqPe7&L; 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z1u?s7e`U5l{D&{tgBvFnWe*VT!^H$}fQ;rlcwc)l^7JoNXZY*TT|1_t`YC|+AN|+T zVKALIdvF-|54TFaxBWtgKk6`jH1yw%;>Qm+ipO17|M&FMhkUZQ9Lvrh&op*Zi9<=x z-)HteInL+*$7(e1950wExVe;T+31DUD#ZWi-MM7`(1Ldy^y&J6QQGfU5B5mTeOfyk zS#LNpWh$ig`j&&hL7ZXCKcP2=%|3gaT#|pm8qVY*Dr$PzxKd`u?kSj|79=&7z4Vpa z+cd3!WnxcATu^#(t=a6g9!%%-&(g1DP07j6w&GZ*v@8t8apr(i#e%8l!^V@iD8H}T z(EnnXo3Nr}9C5qHvQ{p8hucr*YVTv`Kd^t_Ia%GixYz)MB&=zeIte(Em z?;8tKe#M0~Vp*o1nt4A_%5`=RWv7PXX;46vQtkZq5NAn}CF$wuB_|J9QB&5zFNcqK zD!KVaOS5UqFF1UoQ#BrrU5i(!6$HI+ltYxF@yw)(lJplZjvS}_=5`MrsEvl?>QJ}c ucPh8-t{jZ6n9CfV4y-Mub4J2Package statuses src="https://img.shields.io/github/r-package/v/ohdsi/CirceR?label=%20" alt="Version" /> Chris Knoll -GitHub +CRAN Open issues @@ -878,7 +878,7 @@

Package statuses

src="https://img.shields.io/github/r-package/v/ohdsi/Eunomia?label=%20" alt="Version" /> Frank DeFalco -GitHub +CRAN Package statuses href="https://ohdsi.github.io/FeatureExtraction/">Version -Anthony Sena -GitHub +Ger Inberg +CRAN Installing Java
  • Go to https://docs.aws.amazon.com/corretto/latest/corretto-8-ug/downloads-list.html, -and select the Windows 64-bit JRE installer as highlighted below.

  • After downloading just run the installer.

  • The default maximum Java heap space is very small (only 512MB), diff --git a/docs/validation.html b/docs/validation.html index 98768a6..1a01593 100644 --- a/docs/validation.html +++ b/docs/validation.html @@ -446,7 +446,17 @@

    Validation & Evaluation

    Validation

    -

    Coming soon…

    +

    For validation, HADES mostly relies on an extensive set of unit tests +executed as part of its continuous integration. This assures validity on +a continuous basis, at every release. A good reference would be our +recent HADES paper:

    +

    Evaluation

    diff --git a/extras/GeneratePackagesPage.R b/extras/GeneratePackagesPage.R index 0f1ce50..474732f 100644 --- a/extras/GeneratePackagesPage.R +++ b/extras/GeneratePackagesPage.R @@ -1,4 +1,4 @@ -setwd("C:/Temp/Git/Hades") +# setwd("C:/Temp/Git/Hades") packages <- read.csv("extras/packages.csv", stringsAsFactors = FALSE) # sections <- read.csv("extras/sections.csv", stringsAsFactors = FALSE) diff --git a/extras/packages.csv b/extras/packages.csv index 1dedb34..507bcef 100644 --- a/extras/packages.csv +++ b/extras/packages.csv @@ -8,7 +8,7 @@ order,name,section,description,inCran,pages,maintainers,CRON 7,EnsemblePatientLevelPrediction,Patient-level prediction,Building and validating ensemble patient-level predictive models.,FALSE,TRUE,Jenna Reps,0 14 * * 6 8,Characterization,Characterization,Various types of characterizations of a target and outcome cohort.,FALSE,TRUE,Jenna Reps,0 14 * * 0 9,Capr,Cohort construction and evaluation,Develop and manipulate complex cohort definitions in R,FALSE,TRUE,Martin Lavallee,0 15 * * 6 -10,CirceR,Cohort construction and evaluation,"An R wrapper for Circe, a library for creating cohort definitions, expressing them as JSON, SQL, or Markdown.",FALSE,TRUE,Chris Knoll,0 16 * * 6 +10,CirceR,Cohort construction and evaluation,"An R wrapper for Circe, a library for creating cohort definitions, expressing them as JSON, SQL, or Markdown.",TRUE,TRUE,Chris Knoll,0 16 * * 6 11,CohortGenerator,Cohort construction and evaluation,Instantiating cohorts in a database based on a set of cohort definitions.,FALSE,TRUE,Anthony Sena,0 17 * * 6 12,PhenotypeLibrary,Cohort construction and evaluation,The OHDSI Phenotype Library: a collection of community-maintained pre-definined cohorts.,FALSE,TRUE,Gowtham Rao,0 18 * * 6 13,CohortDiagnostics,Cohort construction and evaluation,Generate a wide set of diagnostics to evaluate cohort definitions against databases in the CDM.,FALSE,TRUE,Jamie Gilbert,0 19 * * 6 @@ -18,13 +18,13 @@ order,name,section,description,inCran,pages,maintainers,CRON 17,DataQualityDashboard,Evidence Quality,Expose and evaluate observational data quality.,FALSE,TRUE,Katy Sadowksi,0 17 * * 0 18,EmpiricalCalibration,Evidence Quality,Use negative control exposure-outcome pairs to profile and calibrate a particular analysis design.,TRUE,TRUE,Martijn Schuemie,0 22 * * 6 19,MethodEvaluation,Evidence Quality,Use real data and established reference sets as well as simulations injected in real data to evaluate the performance of methods.,FALSE,TRUE,Martijn Schuemie ,0 23 * * 6 -20,Andromeda,Supporting packages,"Storing very large data objects on a local drive, while still making it possible to manipulate the data in an efficient manner.",TRUE,TRUE,Adam Black,0 0 * * 0 +20,Andromeda,Supporting packages,"Storing very large data objects on a local drive, while still making it possible to manipulate the data in an efficient manner.",TRUE,TRUE,Martijn Schuemie,0 0 * * 0 21,BigKnn,Supporting packages,A large scale k-nearest neighbor classifier using the Lucene search engine.,FALSE,TRUE,Martijn Schuemie ,0 1 * * 0 22,BrokenAdaptiveRidge,Supporting packages,Broken Adaptive Ridge Regression with Cyclops.,TRUE,TRUE,Marc Suchard,0 18 * * 0 23,Cyclops,Supporting packages,"Highly efficient implementation of regularized logistic, Poisson and Cox regression.",TRUE,TRUE,Marc Suchard,0 2 * * 0 24,DatabaseConnector,Supporting packages,"Connect directly to a wide range of database platforms, including SQL Server, Oracle, and PostgreSQL.",TRUE,TRUE,Martijn Schuemie ,0 3 * * 0 -25,Eunomia,Supporting packages,A standard CDM dataset for testing and demonstration purposes that runs on an embedded SQLite database.,FALSE,TRUE,Frank DeFalco,0 4 * * 0 -26,FeatureExtraction,Supporting packages,Automatically extract large sets of features for user-specified cohorts using data in the CDM.,FALSE,TRUE,Anthony Sena,0 5 * * 0 +25,Eunomia,Supporting packages,A standard CDM dataset for testing and demonstration purposes that runs on an embedded SQLite database.,TRUE,TRUE,Frank DeFalco,0 4 * * 0 +26,FeatureExtraction,Supporting packages,Automatically extract large sets of features for user-specified cohorts using data in the CDM.,TRUE,TRUE,Ger Inberg,0 5 * * 0 27,Hydra,Supporting packages,Hydrating package skeletons into executable R study packages based on specifications in JSON format.,FALSE,TRUE,Anthony Sena ,0 6 * * 0 28,IterativeHardThresholding,Supporting packages,Performing L0-based regressions using Cyclops,TRUE,TRUE,Marc Suchard,0 7 * * 0 29,OhdsiSharing,Supporting packages,Securely sharing (large) files between OHDSI collaborators.,FALSE,TRUE,Lee Evans,0 8 * * 0