rjd3toolkit3.6.0 package

Utility Functions Around 'JDemetra+ 3.0'

add_outlier

Manage Outliers/Ramps in Specification

add_usrdefvar

Add a User-Defined Variable to Pre-Processing Specification.

aggregate

Aggregation of time series

arima_difference

Remove an arima model from an existing one.

arima_model

ARIMA Model

arima_properties

Properties of an ARIMA model

arima_sum

Sum ARIMA Models

autocorrelations

Autocorrelation Functions

bsplines

B-Splines

calendar_td

Trading day regressors with pre-defined holidays

chained_calendar

Create a Chained Calendar

chi2distribution

The Chi-Squared Distribution

clean_extremities

Removal of missing values at the beginning/end

compare_annual_totals

Compare the annual totals of two series

data_to_ts

Promote a R time series to a "full JDemetra+ time series"

daysOf

Provides a list of dates corresponding to each period of the given tim...

deprecated-rjd3toolkit

Deprecated functions

diagnostics

Generic Diagnostics Function

dictionary

Get Dictionary and Result

differences

Differencing of a series

differencing_fast

The series is differenced till its variance is decreasing.

do_stationary

Automatic stationary transformation

dot-add_ud_var

Add user-defined variable to a SA model

dot-likelihood

Information on the (log-)likelihood

dot-tsmoniker

Create a Moniker

easter_dates

Display Easter Sunday dates in given period

easter_day

Set a Holiday on an Easter related day

easter_variable

Easter regressor

fixed_day

Set a holiday on a Fixed Day

fixed_week_day

Set a Holiday on a Fixed Week Day

gammadistribution

The Gamma Distribution

holidays

Daily calendar regressors corresponding to holidays

intervention_variable

Intervention variable

invgammadistribution

The Inverse-Gamma Distribution

invgaussiandistribution

The Inverse-Gaussian Distribution

jd3_print

JD3 print functions

jd3_utilities

Java Utility Functions

ljungbox

Ljung-Box Test

long_term_mean

Display Long-term means for a set of calendar regressors

lp_variable

Leap Year regressor

mad

Compute a robust median absolute deviation (MAD)

modelling_context

Create modelling context

monotonic_cspline

Monotonic cubic spline

national_calendar

Create a National Calendar

natural_cspline

Natural cubic spline

normality_tests

Normality Tests

outliers_variables

Generating Outlier regressors

periodic_bsplines

Periodic B-Splines

periodic_cspline

Periodic cubic spline

periodic_csplines

Periodic cardinal cubic splines

periodic_dummies

Periodic dummies and contrasts

print_calendars

Calendars Print Methods

r2jd_calendarts

Create Java CalendarTimeSeries

ramp_variable

Ramp regressor

rangemean_tstat

Range-Mean Regression

reload_dictionaries

Reload dictionaries

runstests

Runs Tests around the mean or the median

sa_decomposition

Generic Function for Seasonal Adjustment Decomposition

sa_preprocessing

Generic Preprocessing Function

sarima_decompose

Decompose SARIMA Model into three components trend, seasonal, irregula...

sarima_estimate

Estimate SARIMA Model

sarima_hannan_rissanen

Estimate ARIMA Model with Hannan-Rissanen method

sarima_model

Seasonal ARIMA model (Box-Jenkins)

sarima_properties

SARIMA Properties

sarima_random

Simulate Seasonal ARIMA

seasonality_canovahansen_trigs

Canova-Hansen test using trigonometric variables

seasonality_canovahansen

Canova-Hansen seasonality test

seasonality_combined

"X12" Test On Seasonality

seasonality_f

F-test on seasonal dummies

seasonality_friedman

Friedman Seasonality Test

seasonality_kruskalwallis

Kruskall-Wallis Seasonality Test

seasonality_modified_qs

Modified QS Seasonality Test (Maravall)

seasonality_periodogram

Periodogram Seasonality Test

seasonality_qs

QS (seasonal Ljung-Box) test.

set_arima

Set ARIMA Model Structure in Pre-Processing Specification

set_automodel

Set Arima Model Identification in Pre-Processing Specification

set_basic

Set estimation sub-span and quality check specification

set_benchmarking

Set Benchmarking Specification

set_easter

Set Easter effect correction in Pre-Processing Specification

set_estimate

Set Numeric Estimation Parameters and Modelling Span

set_outlier

Set Outlier Detection Parameters

set_tradingdays

Set Calendar effects correction in Pre-Processing Specification

set_transform

Set Log-level Transformation and Decomposition scheme in Pre-Processin...

single_day

Set a holiday on a Single Day

special_day

List of Pre-Defined Holidays to choose from

statisticaltest

Generic Function For 'JDemetra+' Tests

stock_td

Trading day Regressor for Stock series

studentdistribution

The Student Distribution

td_canovahansen

Canova-Hansen test for stable trading days

td_f

Residual Trading Days Test

td_timevarying

Likelihood ratio test on time varying trading days

td

Trading day regressors without holidays

to_ts

Creates a time series object

to_tscollection

Creates a collection of time series

trigonometric_variables

Trigonometric variables

ts_adjust

Multiplicative adjustment of a time series for leap year / length of p...

ts_interpolate

Interpolation of a time series with missing values

tsdata_of

Create ts object with values and dates

ucarima_canonical

Makes a UCARIMA model canonical

ucarima_estimate

Estimate UCARIMA Model

ucarima_model

Creates an UCARIMA model, which is composed of ARIMA models with indep...

ucarima_wk

Wiener Kolmogorov Estimators

weighted_calendar

Create a Composite Calendar

R Interface to 'JDemetra+ 3.x' (<https://github.com/jdemetra>) time series analysis software. It provides functions allowing to model time series (create outlier regressors, user-defined calendar regressors, Unobserved Components AutoRegressive Integrated Moving Average (UCARIMA) models...), to test the presence of trading days or seasonal effects and also to set specifications in pre-adjustment and benchmarking when using 'rjd3x13' or 'rjd3tramoseats'.

  • Maintainer: Tanguy Barthelemy
  • License: EUPL
  • Last published: 2026-01-13