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csv updated

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donthebike committed Jul 3, 2019
1 parent 5a1e012 commit 1f823de4438b0b1a92b42fb3f60e58f37159ff58
Showing with 4 additions and 2 deletions.
  1. +1 −1 R/extract.R
  2. +3 −1 data/software.csv
@@ -75,7 +75,7 @@ L <- L[-1]
# create main data.frame
x <- lapply(L,get_attributes)
out <- do.call(rbind,lapply(L,get_attributes))
View(out)
# View(out)
# clean up still existing links

out$platform <- replace_markdown_links(out$platform)
@@ -1,5 +1,6 @@
"gsbpm_name","gsbpm_number","software","link","platform","description","Windows","Mac","linux"
"design frame and sample","2.1","SamplingStrata"," http://cran.stat.unipd.it/web/packages/SamplingStrata/index.html","R",". Optimal Stratification of Sampling Frames for Multipurpose Sampling Surveys.",TRUE,TRUE,TRUE
"design variable descriptions","2.2","SDMX Matrix Generator","https://github.com/OECDSTD/sdmx-matrix-generator","Excel",". Excel-based visual SDMX artefact authoring tool which generates SDMX-ML for upload into an SDMX repository such as a registry. By OECD.",TRUE,FALSE,FALSE
"sampling","4.1","sampling","https://CRAN.R-project.org/package=sampling","R",". Several algorithms
for drawing (complex) survey samples and calibrating design weights.",TRUE,TRUE,TRUE
"sampling","4.1","surveyplanning","https://cran.r-project.org/package=surveyplanning","R",". Tools for sample survey planning, including sample size calculation, estimation of expected precision for the estimates of totals, and calculation of optimal sample size allocation.",TRUE,TRUE,TRUE
@@ -15,7 +16,8 @@ for drawing (complex) survey samples and calibrating design weights.",TRUE,TRUE,
"data integration and record linkage","5.1","reclin","https://cran.r-project.org/web/packages/reclin/index.html","R",". Functions to assist in performing probabilistic record linkage and deduplication: generating pairs, comparing records, em-algorithm for estimating m- and u-probabilities, forcing one-to-one matching. Can also be used for pre- and post-processing for machine learning methods for record linkage.",TRUE,TRUE,TRUE
"data integration and record linkage","5.1","RecordLinkage","https://CRAN.R-project.org/package=RecordLinkage","R",". Implementation of the Fellegi-Sunter method for record linkage.",TRUE,TRUE,TRUE
"data integration and record linkage","5.1","fastLink","https://cran.r-project.org/web/packages/fastLink/index.html","R",". Implements a Fellegi-Sunter probabilistic record linkage model that allows for missing data and the inclusion of auxiliary information. Documentation can be found on http://imai.princeton.edu/research/linkage.html",TRUE,TRUE,TRUE
"data integration and record linkage","5.1","stringdist","https://CRAN.R-project.org/package=stringdist","R"," and [fuzzyjoin](https://CRAN.R-project.org/package=fuzzyjoin) allow for matching records based on inaccurate keys.",TRUE,TRUE,TRUE
"data integration and record linkage","5.1","stringdist","https://CRAN.R-project.org/package=stringdist","R",". Implements approximate string matching. Supports various string distances (Damerau-Levenshtein, Hamming, Levenshtein, optimal sting alignment), qgrams (q- gram, cosine, jaccard distance) and heuristic metrics (Jaro, Jaro-Winkler). An implementation of soundex is provided as well.",TRUE,TRUE,TRUE
"data integration and record linkage","5.1","fuzzyjoin","https://CRAN.R-project.org/package=fuzzyjoin","R",". Join tables based on exact or similar matches. Allows for matching records based on inaccurate keys.",TRUE,TRUE,TRUE
"data integration and record linkage","5.1","XBRL","https://CRAN.R-project.org/package=XBRL","R",". Extraction of Business Financial Information from [XBRL](https://www.xbrl.org/) Documents",TRUE,TRUE,TRUE
"statistical data editing and imputation","5.3 | 5.4","validate","https://CRAN.R-project.org/package=validate","R",". Rule management and data validation.",TRUE,TRUE,TRUE
"statistical data editing and imputation","5.3 | 5.4","validatetools","https://CRAN.R-project.org/package=validatetools","R",". Checking and simplifying sets of validation rules.",TRUE,TRUE,TRUE

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