Displaying 4 results from an estimated 4 matches for "endog".
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2006 Aug 22
1
Total (un)standardized effects in SEM?
Hi there,
as a student sociology, I'm starting to learn about SEM. The course I
follow is based on LISREL, but I want to use the SEM-package on R
parallel to it.
Using LISREL, I found it to be very usable to be able to see the
total direct and total indirect effects (standardized and
unstandardized) in the output. Can I create these effects using R? I
know how to calculate them
2006 Jun 11
0
Error in "[.default"(mf[, 1], , 1) : incorrect number of dimensions
....table("http://tigger.uic.edu/~hedeker/RIESBY.DAT.txt")
Warning message:
number of items read is not a multiple of the number of columns
> riesby<-riesby[1:396,]
> id<-factor(riesby[,1])
> hamD<-riesby[,2]
> intcpt<-riesby[,3]
> week<-factor(riesby[,4])
> endog<-riesby[,5]
> endweek<-riesby[,6]
> glmm(hamD~intcpt,family=gaussian,data=data.fram(hamD,intcpt,week),nest=week)
Error in inherits(data, "repeated") : could not find function "data.fram"
> glmm(hamD~intcpt,family=gaussian,data=data.frame(hamD,intcpt,week),nest=wee...
2007 Jul 05
1
(Statistics question) - Nonlinear regression and simultaneous equation
Hi,I have a fundamental questions that I'm a bit confused. If any guru from this circle could help me out, I would really appreciate.I have a system of equations in which some of the endogs appear on right hand sides of some equations. To solve this, one needs a technique like 2SLS or FIML to circumvent inconsistency of the estimated coefficients. My question is that if I apply the nonlinear regression like SVM regression. Do I still need to worry about endogeneity? Meaning, what I o...
2002 Sep 09
0
Function: VECM (Johansen)
...ber of lags in the VECM is one order smaller than the
VAR-order is.
ira: integer, number of periods for the impulse response
function.
Output:
ALPHA: vector of constants.
PSI0: Error-Correction-Matrix
PSI: Array of matrices for the lagged differences of y.
OMEGA: Variance/Covariance matrix.
ENDOG: Matrix of endogenous variables (1st differences).
FITTEDD: Fitted values in 1st differences.
FITTEDL: Fitted values in levels.
IRA: Array of Impulse Responses
Note, this function runs only in interactive mode: the user has to supply
the number cointegrating vectors after the function returns the...