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Editing_A_list.qmd
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# Editing list
## Chapter Specific Issues
### Preface
A: improve install GUI link (don't leave raw link to GitHub): ok
A: revamp tutorials (jd and not only sa) : ok
A: revamp rjdemetra general readme, and specific ones
### How to Use this Book
A: missing points, cf comments
### G-news-v3-vs-v2.qmd
- news v3 v2, set links to relevant part of new features
### G-jd-history.qmd (not in book yet )
to be organized
resources - small publi 4p insee/eurostat
web explo stack
### In All ALGO chapters
- R version 3 code to be added
- remove theory related parts
- much less text than current doc (too long)
- method details: to method chapters
- tools details in tools: GUI or R
when describing parameters
- 1 common description
- 2 setting in GUI
- 3 setting in R
### A-sa-overview
### A-sa-pre-treatment
- links to calendar correction
- ramps
graph and formula are available in [Linearisation with the TRAMO and RegARIMA models](../theory/SA_lin.html).
explain params
- differentiation orders D1DS: if ticked: 1 1 automatically (pb differentiation before the real differentiation ?), cf rjd3toolkit doc to harmonize
#### in reg arima results
- seasonality tests on residuals (Highlight differences: - in gui - in R v2: retrieve object in output, v3 run test)
#### Allocation to components
allocation when intervention or ramps ? in test allocated to trend ? (reg)
impossible (?) to create several intervention variables
### A-sa-x11-decomposition
### A-sa-seats-decomposition
### A-rev-policies
add - v3 visuals (progressive)
- fixed auto reg param - inter chapter links : r packs, cruncher
obj here: general explanations + examples ? here : explain voc discrepancies vs guidelines bbk controlled current link to plug in illustration links on covid
#### Revision Policies
general concepts - identified vs estimated - linearization phase - X11 - seats
here concepts of domain spec, point spec
concurrent = first estimation or redo everything (never overrides user defined parameters)
#### Implemententing revision policies in R
add examples
add example with rjd3workspace
### A-sa-hf.qmd
### A-outlier-detection.qmd
data type
contrasting GUI and R packages
small chunks on regressors to be added
more info on detection
### A-calendar-correction.qmd
ADD tool map Calendar correction using R packages vs GUI: quick contrasting
- is group and reference day choice as flexible in GUI as in R ?
- in GUI (v3) automatic detection, what in R ?
- are the same data frequencies available in R and in GUI (divisors of 12 and...)
- calendar correction HF data: R vs GUI ? including weekly data
remarks:
- less dense content, less text more tables, bullet points
- check and add documents new v3 features
- cjo frequency explained by K they simulate calendar pattern...empirically fall here (cf refs papers)
frequency 41 et 41 survival of 1/60 discrete step in X12 (cf sokup findley)
#### To do
On theory part:
- manque effet de paques (cf regressor and ICA: hole)
- length of period
- stock
On practical part:
- HF in GUI ?
- add in R
- generating regressors from customized calendar : GUI and R
- Length of Period
adjust param
- stcok series
cf book x12 and SH
The regressor will have the value -1 if the w-th day is a Sunday, 1 if it is a Monday as 0 otherwise.
example lacking in the package
explain problems and mixing with seasonality ...
### A-benchmarking.qmd
review maria's work (cfr email remarks)
add rjd3 bench and link help pages
resources
- corentin L , beamer rome
- maria, ine, beamer ocde
### A-trend-cycle-estimation.qmd
see alain
see karsten paper on HF
### A-nowcasting.qmd
plug in v2
package v3
## T-graphical-user-interface.qmd
why use the graphical user interface ? what is not directly available in R yet?
objective: describe the general features (independent of algorithms)
- general layout
- options !: like stats tools/ modifs good bad / look and feel
- import data
- documents
- workspaces
- specifications
- output
### GUI: SA and Modelling Features
chapter name/scope to change: encompass all stat methods
very weak
lacks new links
Topics voir what should be tackled here
- Modelling process new document
<!-- very short explanations, as the same as in pre-adjustment -->
- Anomaly detection (just structure link to outlier chapter)
- SAP detailed (but not algo specific), just structure
- Seasonality tests
- direct indirect seasonal adjustment
### ADD : List of Output items
### T-Production-tools-cruncher-QR
add - List of exportable series (tramo / x13 with names)
- link to option change for adjusting "good", "bad"...
### T-r-packages
- add a global description of rjd3toolkit cf aux txt file
- include details in rjd3workspace (when ready)
#### Perimeter definition
X11+
- will take all x11 related functions from rjd3highfreq which will stay model based (then seats+ will comme, another pack or not ?)
- simple (extended) airline processing + more choices in all asymetrical filters (better for revisions)**
### T-plug-ins
- change order v3 first
- add SDMX specifs
### M-spectral-analysis
add: - R code or references to - rjd3sa (?) references to tests - more explanations on spectral analysis rationale
Vocabulary precision and concise definitions - spectral density - periodogram - spectral density estimator - "spectrum" is used too ubiquitously
### M-reg-arima-modelling
In the chapter on SA, in the pre-adjustment section, we tackle: - purpose, principles and results of reg-arima models (tramo or reg-arima)
Here we tackle : - more in depth presentation - details on model estimation (not your typical box and Jenkins)
### M-X11-decomposition.qmd
Questions
- is the A part really used in X-11 model
- in step B: "and, if requested, a first estimation of the
calendar effects" (from old doc: true ?)"
- final tables and effects of pre adjustement
- add more computation details: cf my notes on X-11, yes, but not urgent
Edit content goal of the chapter: details on X-11 which won't be in the SA chapter
see - my notes on X-11 - formulas from training yc estp - formulas from HF paper or beamer
### M-STL-decomposition
resources : - papier HF - papier Daniel O on dsa
### M-SEATS-decomposition
- see doc JP (new ?)
### M-Trend-Estimation-Local-Polynomials
see with KW / AQLT
### M-tests.qmd
cf wiki old doc: complement existing info
### M-state-space-framework
cf wiki old doc
### references
set up anew