Package: rjd3revisions 1.4.0.9000

Corentin Lemasson

rjd3revisions: Revision analysis with 'JDemetra+ 3.x'

Revision analysis tool part of 'JDemetra+ 3.x' (<https://github.com/jdemetra>) time series analysis software. It performs a battery of tests on revisions and submit a report with the results. The various tests enable the users to detect potential bias and sources of inefficiency in preliminary estimates.

Authors:Corentin Lemasson [aut, cre], Tanguy Barthelemy [aut, art]

rjd3revisions_1.4.0.9000.tar.gz
rjd3revisions_1.4.0.9000.zip(r-4.5)rjd3revisions_1.4.0.9000.zip(r-4.4)rjd3revisions_1.4.0.9000.zip(r-4.3)
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rjd3revisions_1.4.0.9000.tar.gz(r-4.5-noble)rjd3revisions_1.4.0.9000.tar.gz(r-4.4-noble)
rjd3revisions_1.4.0.9000.tgz(r-4.4-emscripten)
rjd3revisions.pdf |rjd3revisions.html
rjd3revisions/json (API)
NEWS

# Install 'rjd3revisions' in R:
install.packages('rjd3revisions', repos = c('https://aqlt.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/rjdverse/rjd3revisions/issues

Uses libs:
  • openjdk– OpenJDK Java runtime, using Hotspot JIT

On CRAN:

4.98 score 3 stars 5 scripts 30 exports 6 dependencies

Last updated 30 days agofrom:38b9dcb0b5. Checks:OK: 7. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 22 2024
R-4.5-winOKNov 22 2024
R-4.5-linuxOKNov 22 2024
R-4.4-winOKNov 22 2024
R-4.4-macOKNov 22 2024
R-4.3-winOKNov 22 2024
R-4.3-macOKNov 22 2024

Exports:biascheck_date_monthcheck_date_quartercheck_date_yearcheck_format_datecheck_horizontalcheck_longcheck_verticalcointegrationcreate_vintagescreate_vintages_from_csvcreate_vintages_from_xlsxdescriptive_statisticsefficiencyModel1efficiencyModel2get_revisionsorthogonallyModel1orthogonallyModel2render_reportrevision_analysisset_all_thresholds_to_defaultset_thresholds_to_defaultsignalnoisesimulate_longslope_and_drifttheiltheil2unitrootvecmView

Dependencies:backportscheckmateRcpprJavarjd3toolkitRProtoBuf

Revision analysis tool with JDemetra+ version 3.x algorithms

Rendered fromrjd3revisions.Rmdusingknitr::rmarkdownon Nov 22 2024.

Last update: 2024-10-23
Started: 2023-08-28

Readme and manuals

Help Manual

Help pageTopics
Estimate bias using t-test and augmented t-testbias
Check vector with datecheck_date_month check_date_quarter check_date_year check_format_date
Check horizontal formatcheck_horizontal check_horizontal.data.frame check_horizontal.default check_horizontal.matrix
Check long formatcheck_long
Check vertical formatcheck_vertical check_vertical.data.frame check_vertical.default check_vertical.matrix check_vertical.mts
Cointegration tests (Engle-Granger)cointegration
Create vintage tablescreate_vintages create_vintages.data.frame create_vintages.default create_vintages.matrix create_vintages.mts
Create vintages table from CSV or TXT filescreate_vintages_from_csv
Create vintages table from XLSX filescreate_vintages_from_xlsx
Descriptive statisticsdescriptive_statistics
Efficiency Model 1efficiencyModel1
Efficiency Model 2efficiencyModel2
Calculate revisions from vintagesget_revisions
Orthogonally Model 1orthogonallyModel1
Orthogonally Model 2orthogonallyModel2
Plot function for objects of class "rjd3rev_revisions"plot.rjd3rev_revisions
Plot function for objects of class "rjd3rev_vintages"plot.rjd3rev_vintages
Print function for objects of class '"rjd3rev_revisions"'print.rjd3rev_revisions
Print function for objects of class 'rjd3rev_rslts'print.rjd3rev_rslts
Print function for objects of class '"rjd3rev_vintages"'print.rjd3rev_vintages
Generate report on Revision Analysisrender_report
Revision analysis through a battery of testsrevision_analysis
Set all test thresholds to their default valuesset_all_thresholds_to_default
Set thresholds of a given test to their default valuesset_thresholds_to_default
Signal VS Noisesignalnoise
Simulate long datasets with revisionssimulate_long
Slope and Driftslope_and_drift
Summary function for objects of class "rjd3rev_revisions"summary.rjd3rev_revisions
Summary function for objects of class 'rjd3rev_rslts'summary.rjd3rev_rslts
Summary function for objects of class "rjd3rev_vintages"summary.rjd3rev_vintages
Theil's Inequality Coefficient U1theil
Theil's Inequality Coefficient U2theil2
Unit root testunitroot
Vector error correction model (VECM)vecm
View function for objects of class "rjd3rev_vintages"View View.default View.rjd3rev_vintages
View function for objects of class 'rjd3rev_rslts'View.rjd3rev_rslts