Displaying 6 results from an estimated 6 matches for "unconstrainted".
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2011 Apr 12
2
Testing equality of coefficients in coxph model
Dear all,
I'm running a coxph model of the form:
coxph(Surv(Start, End, Death.ID) ~ x1 + x2 + a1 + a2 + a3)
Within this model, I would like to compare the influence of x1 and x2 on the
hazard rate.
Specifically I am interested in testing whether the estimated coefficient
for x1 is equal (or not) to the estimated coefficient for x2.
I was thinking of using a Chow-test for this but the Chow
2010 Mar 13
1
testing parallelism of does-response curves using nls()
Hi, I am trying to use F test or Chi-square test to test if 2 5-parameter (A, B, xmid, scal and H) logistic curves are parallel based on residual sum of squares.
What's usually done is to first fit the 2 curves using a constraint (or global) model where all parameters are kept the same except for "xmid"; then fit 2 independent curves using unconstraint models where all 5 parameters
2009 Feb 16
2
solve.QP with box and equality constraints
Dear list,
I am trying to follow an example that estimates a 2x2 markov transition
matrix across several periods from aggregate data using restricted least
squares.
I seem to be making headway using solve.QP(quadprog) as the unrestricted
solution matches the example I am following, and I can specify simple
equality and inequality constraints. However, I cannot correctly specify a
constraint
2005 Nov 29
1
Constraints in Quadprog
I'm having difficulty figuring out how to implement the
following set of constraints in Quadprog:
1). x1+x2+x3+x4=a1
2). x1+x2+x5+x6=a2
3). x1+x3+x5+x7=a3
4). x1+x2=b1
5). x1+x3=b2
6). x1+x5=b3
for the problem: MIN (x1-c1)2+(x2-c2)2+...+(x8-c8)2.
As far a I understand, "solve.QP(Dmat, dvec, Amat, bvec, meq=0,
factorized=FALSE)" reads contraints using an element-by-element
2008 Mar 03
2
Constrained regression
Dear list members,
I am trying to get information on how to fit a linear regression with
constrained parameters. Specifically, I have 8 predictors , their
coeffiecients should all be non-negative and add up to 1. I understand it is
a quadratic programming problem but I have no experience in the subject. I
searched the archives but the results were inconclusive.
Could someone provide suggestions
2009 Nov 04
3
Constrained Optimization
Hi All,
I'm trying to do the following constrained optimization example.
Maximize x1*(1-x1) + x2*(1-x2) + x3*(1-x3)
s.t. x1 + x2 + x3 = 1
x1 >= 0 and x1 <= 1
x2 >= 0 and x2 <= 1
x3 >= 0 and x3 <= 1
which are the constraints.
I'm expecting the answer x1=x2=x3 = 1/3.
I tried the "constrOptim" function in R and I'm running into some issues.
I first start off