similar to: How to make predictions with the predict() method on an arimax object using arimax() from TSA library

Displaying 20 results from an estimated 400 matches similar to: "How to make predictions with the predict() method on an arimax object using arimax() from TSA library"

2011 Oct 02
0
Arimax First-Order Transfer Function
Dear list members, I am a (very) recent convert to R and I am hoping you can help me with a problem I'm having. I'm trying to fit a first-order transfer function to an ARIMA intervention analysis using the "arimax" function. The data was obtained from McCleary & Hay (1980) (via Rob Hyndman's Time Series Library: http://robjhyndman.com/tsdldata/data/schizo.dat). It has
2008 Oct 15
1
Forecasting using ARIMAX
Dear R-helpers, I would appreicate if someone can help me on the transfer parameter in ARIMAX and also see what I am doing is correct. I am using ARIMAX with 2 Exogeneous Variables and 10 years data are as follows: DepVar Period, depVar, IndepVar1 Period, indepVar1, IndepVar2 Period, indepVar2 Jan 1998,708,Jan 1998,495,Jan 1998,245.490 Feb 1998,670,Feb 1998,421.25,Feb 1998,288.170 Mar
2013 Feb 21
2
Arimax with intervention dummy and multiple covariates
Hi I'm trying to measure the effect of a policy intervention (Box and Tiao, 1975). This query has to do with the coding of the model rather than with the particulars of my dataset, so I'm not providing the actual dataset (or a simulated one) in this case, apart from some general description. The time series are of length n=34 (annual observations between 1977 and 2010). The policy
2011 Nov 15
0
Forescasting using predict() in an object of class arimax when there is an outlier IO in the model.
Forescasting using predict() in an object of class arimax when there is an outlier IO in the model. Hi R users I have a problem when a use the predict() method in an object of class arimax ( These objects are the results of the implementation of the function arimax() from the TSA library) . The object is a model of a time series in which I identified an IO oulier at the element 33 of the serie
2009 May 04
2
About the Transfer Function Model(ARIMAX)
Dear ALL, I would appreciate if someone help me by letting me know the code of above model in R.I would request you to please let me know how i could make arimax model in auto.arima. Regards Ramanath [[alternative HTML version deleted]]
2004 Apr 01
1
arimax...
Hallo all can someone explain me how the exogenus variables work in the arimax models is not clear for me... Thanks Michele
2010 May 05
0
R-help Digest, Vol 87, Issue 5
Unsubscribe -----Original Message----- From: r-help-request at r-project.org Date: Wed, 05 May 2010 12:00:09 To: <r-help at r-project.org> Subject: R-help Digest, Vol 87, Issue 5 Send R-help mailing list submissions to r-help at r-project.org To subscribe or unsubscribe via the World Wide Web, visit https://stat.ethz.ch/mailman/listinfo/r-help or, via email, send a message with subject
2005 Sep 08
1
Time series ARIMAX and multivariate models
Dear List, The purpose of this e-mail is to ask about R time series procedures - as a biologist with only basic time series knowledge and about a year's experience in R. I have been using ARIMAX models with seasonal components on seasonal data. However I am now moving on to annual data (with only 34 time points) and understand that ARIMA is not suitable for these shorter time periods - does
2004 Apr 16
0
RE. arimaX
On 1 Apr 2004 at 20:28, michele lux wrote: If by arimax you meant arima with the xreg argument, where xreg is a vector or matrix of exogeneous variables, then it is my understanding (but I did'nt yet understand the code completely) that the coefficients of the columns in xreg is estimate jointlt with the ARMA parameters, by maximum likelihood (or conditional maximum likelihood in the case
2018 May 25
0
Query on the Arimax modeling results
Hi R team, We?ve run Arimax models in R. We had a lot of queries around the interpretation of the outputs. *Dependent variable =* Volume (Growth %) *Independent Variables =* 3 Macroeconomic variables (Growth %) Following is the line of code Arimax.Model <- auto.arima(y = input.data[,"Volume"], xreg = input.data[,model.vars], seasonal = F) Following is the output
2012 Jul 02
0
Specifying Transfer Function in Time series Intervention model
Hi Team, I am running ARIMAX with TSA package. my code is fit2 <- arimax(yseries, order = c(1,0,1),xtransf = data.frame(X1var),transfer=list(c(1,0))) my question is 1st Q.--> If I need to take difference of X1var then what should i do?. What i am doing like submitting R code as X1vard <- diff(X1var) and then i am including in the xtransf. Same time if i need to take difference of
2001 Aug 28
1
ARIMAX
I am new to R-system. I have found time series modeling package whereby ARIMA model can be developed. I would like to know if there exists some package within R-system whereby parameters of transfer function model can be estimated using the preliminaraly identified model. Any sort of help in this regard will be highly appreciated. MG __________________________________________________ Do You
2009 May 05
0
Time series ARIMAX and multivariate models
Dear Lillian, I would request you if you provide me the knowledge of how build ARIMAX model in R? It would be great help for me. Thanks Ramanath [[alternative HTML version deleted]]
2009 Jul 15
2
storing lm() results and other objects in a list
to clean up some code I would like to make a list of arbitrary length to store?various objects for use in a loop sample code: ############ BEGIN SAMPLE ############## # You can see the need for a loop already linearModel1=lm(modelSource ~ .,mcReg) linearModel2=step(linearModel1) linearModel3=lm(modelSource ~ .-1,mcReg) linearModel4=step(linearModel3) #custom linearModel5=lm(modelSource ~ .
2008 Jul 08
0
forecast & xreg
Dear all, I am fitting an arimax (arima with some extra explanatory variables) model to a time series. Say, I have a Y (dependent variable) and an X (explanatory). Y is 100 observations (time series) and X is 100 + 20 (20 to use for the forecast horizon). I can not make xreg work with the forecast function for an arima fit. The "predict" function seems to be working but the
2015 Jun 12
2
Serie temporal interrumpida del tipo AirPassengers
Hola usuarios, Necesito detectar si existe o no un cambio de tendencia y si dicho cambio es significativo, para una serie temporal del tipo AirPassengers, en la que a partir de un determinado momento se ha hecho una campaña (supongamos que una promoción de vuelos). Para ello he pensado varios métodos: Usar la descomposición espectral de la muestra [decompose(AirPassengers)] y luego una Regresión
2006 Jan 17
1
how can i locate the source code of a module quickly?
I have dowloaded the Source Code of R,and I want to know the process of chi-sqared test,but how can I found it? [[alternative HTML version deleted]]
2010 Jun 01
1
TSA package dependencies
In Ubuntu 10.04, from the R command line install.packages('TSA',dep=TRUE) downloads & installs about 100 packages from CRAN, including some big ones like Zelig. It's only supposed to depend on leaps, locfit, mgcv, & tseries & through them akima, lattice, quadprog, zoo, & stats. Not a big problem of course, but I wondered if anyone else had noticed this behaviour.
2005 Aug 29
1
Different sings for correlations in OLS and TSA
Dear list, I am trying to re-analyse something. I do have two time series, one of which (ts.mar) might help explaining the other (ts.anr). In the original analysis, no-one seems to have cared about the data being time-series and they just did OLS. This yielded a strong positive correlation. I want to know if this correlation is still as strong when the autocorrelations are taken into account.
2008 May 08
1
ARIMA, AR, STEP
Here is my problem: Autoregressive models are very interesting in forecasting consumptions (eg water, gas etc). Generally time series of this type have a long history with relatively simple patterns and can be useful to add external regressors for calendar events (holydays, vacations etc). arima() is a very powerful function but kalman filter is very slow (and I foun difficulties of estimation)