search for: endog

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...