inequality constraints
- Rdonlp2
See the CRAN Task View: Optimization and Mathematical Programming for more
information.
Ravi.
Ravi Varadhan, Ph.D.
Assistant Professor,
Division of Geriatric Medicine and Gerontology
School of
c(low, -upp)[vec]
ans <- lsei(A = A, B = y, G = Cmat, H = b0)
ans
Hope this helps,
Ravi.
----
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns Hopkins University
Ph: (410) 502-2619
Fax: (410) 614-9625
Email
check whether I have found all the
roots.
Ravi.
----
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns Hopkins University
Ph: (410) 502-
.
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns Hopkins University
Ph: (410) 502-2619
Fax: (410) 614-9625
Email: rvarad...@jhmi.edu
If you want `numerical' partial derivatives, check out:
require(numDeriv)
?grad
Ravi.
____
Ravi Varadhan, Ph.D.
Assistant Professor,
Division of Geriatric Medicine and Gerontology
School of Medicine
Johns Hopkins Unive
ale = -1)).
If this still does not work, try the function spg() in the "BB" package.
Ravi.
----
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicin
inttegral arise? It must have been
studied well using asymptotic approximation and such.
Ravi.
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and
t; 0
h2 <- cumsum(fit2$n.event[jump]/fit2$n.risk[jump])
> min(abs(h1$hazard - h2))
[1] 1.387779e-17
Best,
Ravi.
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns Ho
uot;Cancer" | status=="CVD" | status=="Other")
~ 1, data=gb)
jump <- fit2$n.event > 0
h2 <- cumsum(fit2$n.event[jump]/fit2$n.risk[jump])
plot(h1$time, h1$hazard - h2)
Thank you,
Ravi.
Ravi
Hi,
It is not clear to me what you are trying to do, but you should try `while'
instead of `if':
count <- 1
while (count > 0) {
.
. # yuor code here
.
}
Ravi.
____
Ravi Varadhan, Ph.D.
Assistant Profes
hess <- hessian(x=ans$par, func=fr)
hess
Hope this helps,
Ravi.
----
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
homework assignment. If so, you should acknowledge that
you got help from the R group.
Ravi.
Ravi Varadhan, Ph.D.
Assistant Professor,
Division of Geriatric Medicine and Gerontology
School of Medicine
Johns Hopkins University
.
Ravi.
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns Hopkins University
Ph: (410) 502-2619
Fax: (410) 614-9625
Email: rvarad
might help.
Ravi.
----
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns Hopkins University
Ph: (410) 502-2619
Fax: (410) 614-9625
Email: rvarad.
The information you have provided is not enough. Please read the posting
guide on how ask for help. Provide a reproducible example so we can help
you.
Ravi.
---
Ravi Varadhan, Ph.D.
Assistant Professor, The
. What is the
real problem that you are trying to solve?
Ravi.
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns Hopkins University
spg(par=c(0, 0), fn=fr.pen) # Note: this starting value will fail for the
"projection method" due to division by zero
Ravi.
----
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
r" and "upper" as arguments, even if you don't use them
spg(par=c(0.5, 0.5), fn=fr, project=proj)
Hope this helps,
Ravi.
----
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Healt
You can try defining a "projection" function as follows:
project <- function(x) x / sum(x)
This should work fine.
Let me know if you have any trouble.
Ravi.
----
---
Ravi Varadhan, Ph.
ne
Hope this helps,
Ravi.
----
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns Hopkins University
Ph: (410) 502-2619
Fax: (410) 614-9625
Email: rvarad...
solve your problem,
assuming that is your problem.
Ravi.
-------
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns Hopkins University
Ph:
re-run optim() or nlminb() or spg().
Hope this helps,
Ravi.
----
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns Hopkins University
Ph: (410) 502-2619
Fax: (410) 614-9625
Email: rvarad...@jh
y(nls.coef, 2, summary)
Hope this helps,
Ravi.
----
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns Hopkins University
Ph: (410) 502-2619
Fax: (410) 61
), col=4, lty=3)
Note that the constraint does "significantly" alter the loess smooth close
to the origin, as it should.
Ravi.
----
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Heal
y <- seq(0, 1, length=5) *2*pi
z <- cbind(x, y)
jac <- vector("list")
for (i in 1:nrow(z)) {
jac[[i]] <- jacobian(func=func2, x=z[i, ])
}
jac
Ravi.
---
(x, ...) )
> integrate(f2, 0.5, 1, const=testval)
1.845111 with absolute error < 2.0e-14
Ravi.
____
Ravi Varadhan, Ph.D.
Assistant Professor,
Division of Geriatric Medicine and Gerontology
School of Medicine
Johns Hopkins
e-14
Ravi.
____
Ravi Varadhan, Ph.D.
Assistant Professor,
Division of Geriatric Medicine and Gerontology
School of Medicine
Johns Hopkins University
Ph. (410) 502-2619
email: rvarad...@jhmi.edu
- Original Message -
From: Richard Morey
Date: Thursday, Apri
used as an "off-the-shelf" accelerator without needing any
problem-specific input.
Best,
Ravi.
____
Ravi Varadhan, Ph.D.
Assistant Professor,
Division of Geriatric Medicine and Gerontology
School of Medicine
Johns Hopkins
tiple starting values. Be warned that EM convergence can be
excruciatingly slow. Acceleration methods can be of help in large simulation
studies or for bootstrapping.
Best,
Ravi.
____
Ravi Varadhan, Ph.D.
Assistant Professor,
Divisi
ll
optim(par=as.numeric(start0), fn=fcn, method="L-BFGS-B", lower=c(-Inf, 0, -Inf,
0, 0), upper=c(Inf, Inf, Inf, Inf, 1))
Ravi.
Ravi Varadhan, Ph.D.
Assistant Professor,
Division of Geriatric Medicine and Ger
)
?dfsane
Ravi.
____
Ravi Varadhan, Ph.D.
Assistant Professor,
Division of Geriatric Medicine and Gerontology
School of Medicine
Johns Hopkins University
Ph. (410) 502-2619
email: rvarad...@jhmi.edu
- Original Message -
From: Roslina Zakaria
Date: Tuesday, April 7, 2009 10:35
])
[1] 1
>
I know the difference is insignificant, in this example, but in general,
using a large weight for the first equation is a good idea.
Best,
Ravi.
----
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Cent
e-05
>
Note that the sum of squared residuals from lm() is smaller than your value
from optim(). Although, this approach works well in your example, it does
not guarantee that the coefficients are between 0 and 1.
Ravi.
------
smoother, such as, for example,
smooth.spline() or loess().
Ravi.
____
Ravi Varadhan, Ph.D.
Assistant Professor,
Division of Geriatric Medicine and Gerontology
School of Medicine
Johns Hopkins University
Ph. (410) 502-2619
email: rvara
87
[8,]98
[9,] 109
>
This is allso known as Ruelle-Takens embedding in non-linear dynamical
systems, where this device is helpful in detecting the existence of a
low-dimensional attractor of the time-series.
Ravi.
--
on gradients, such as Nelder-Mead.
Can you provide a reproducible example, which would help us dig deeper into
your problem?
Ravi.
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
on gradients, such as Nelder-Mead.
Can you provide a reproducible example, which would help us dig deeper into
your problem?
Ravi.
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
this area.
Ravi.
----
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns Hopkins University
Ph: (410) 502-2619
Fax: (410) 614-
ness" you would like to
have.
Ravi.
----
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns Hopkins University
Ph: (410) 502-2619
Fax: (410) 614-9625
Email: rvarad...@
-constraints on x and/or b) including optim() or spg() in the "BB" package.
Ravi.
____
Ravi Varadhan, Ph.D.
Assistant Professor,
Division of Geriatric Medicine and Gerontology
School of Medicine
Johns Hopkins University
f=d2, interval=c(0.1, 0.5)) # first inflection point
uniroot(f=d2, interval=c(0.5, 0.9)) # second inflection point
Ravi.
____
Ravi Varadhan, Ph.D.
Assistant Professor,
Division of Geriatric Medicine and Gerontology
School of Medicine
Joh
e, what type of
discontinuity do you have (e.g. f(.) is continuous, but its gradient is not, or
f(.) itself has jump discontinuites)?
Ravi.
____
Ravi Varadhan, Ph.D.
Assistant Professor,
Division of Geriatric Medicine and Gerontology
School of
Ravi.
____
Ravi Varadhan, Ph.D.
Assistant Professor,
Division of Geriatric Medicine and Gerontology
School of Medicine
Johns Hopkins University
Ph. (410) 502-2619
email: rvarad...@jhmi.edu
- Original Message -
From: Ravi Varadhan
Date: Friday, March 27, 2
(with multiple starts or some
other search technique) and choose the one that maximizes f(x).
Ravi.
____
Ravi Varadhan, Ph.D.
Assistant Professor,
Division of Geriatric Medicine and Gerontology
School of Medicine
Johns Hopkins Universit
equal(x, t(L) %*% L)
A <- matrix(rnorm(36), 6, 6)
A <- A %*% t(A)
L <- loch(x)
all.equal(x, t(L) %*% L)
Ravi.
____
Ravi Varadhan, Ph.D.
Assistant Professor,
Division of Geriatric Medicine and Gerontology
School of M
equal(x, t(L) %*% L)
A <- matrix(rnorm(36), 6, 6)
A <- A %*% t(A)
L <- loch(x)
all.equal(x, t(L) %*% L)
Ravi.
____
Ravi Varadhan, Ph.D.
Assistant Professor,
Division of Geriatric Medicine and Gerontology
School of M
traditional Cholesky factorization can do
for a symmetric, positive-definite matrix (mainly, solve a system of equations).
Ravi.
____
Ravi Varadhan, Ph.D.
Assistant Professor,
Division of Geriatric Medicine and Gerontology
School o
vide such compactness as you have to
model all the cause-specific hazards.
Best,
Ravi.
____
Ravi Varadhan, Ph.D.
Assistant Professor,
Division of Geriatric Medicine and Gerontology
School of Medicine
Johns Hopkins Unive
this were
possible. I am wondering why Terry Therneau's "survival" package doesn't
have this option.
Best,
Ravi.
----
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Divi
ifferent approach that
relaxes this assumption (it also uses a different estimation approach), but
I don't know if there is an R implementation for that.
Thanks,
Ravi.
----
---
Ravi Varadhan, Ph.D.
Assistant Professo
such as dfsane() in the
the package "BB" or nleqslv() in "nleqslv".
It is not clear to me how you end up with a scalar objective function to
minimize (do you consider the L2-norm of the residuals?).
Ravi.
____
ast.
Ravi.
____
Ravi Varadhan, Ph.D.
Assistant Professor,
Division of Geriatric Medicine and Gerontology
School of Medicine
Johns Hopkins University
Ph. (410) 502-2619
email: rvarad...@jhmi.edu
- Original Message -
From: Bert Gunter
Date: Wednesday, March 25, 20
the minimum length by using
Moore-Penrose inverse:
> require(MASS)
> ans.min <- c(ginv(x) %*% y)
> ans.min
[1] 2 2 2
>
You can verify that ans.min has a smaller L2-norm than ans, and it is unique.
Hope this helps,
Ravi.
___
.
Ravi Varadhan, Ph.D.
Assistant Professor,
Division of Geriatric Medicine and Gerontology
School of Medicine
Johns Hopkins University
Ph. (410) 502-2619
email: rvarad...@jhmi.edu
- Original Message -
From: David Winsemius
Date: Tuesday, March 24, 2009 10:54 pm
Subject
lts in
journal articles because the data sets and their sources are sloppily
documented.
Ravi.
----
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontol
I just found it. Please disregrad my email.
Ravi.
Ravi Varadhan, Ph.D.
Assistant Professor,
Division of Geriatric Medicine and Gerontology
School of Medicine
Johns Hopkins University
Ph. (410) 502-2619
email: rvarad
in A & H exist?
Thanks very much,
Ravi.
____
Ravi Varadhan, Ph.D.
Assistant Professor,
Division of Geriatric Medicine and Gerontology
School of Medicine
Johns Hopkins University
Ph. (410) 502-2619
email: rvarad...@jhmi
sum(rowmarg), margin=list(1,2),
start=mat, fit=TRUE, eps=1.e-05, iter=100)$fit
newmat
apply(newmat, 1, sum)
apply(newmat, 2, sum)
Ravi.
----
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Heal
t be to get Trevor Hastie or Bill Cleveland to help you
out.
But, before that: why is this an issue, Rolf? Is it important that these two
results be identical?
Best,
Ravi.
____
Ravi Varadhan, Ph.D.
Assistant Professor,
Div
he R users
for "directly" solving nonlinear systems. Now, there are two solid
alternatives.
Best,
Ravi.
----
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geri
ys).
Ravi.
____
Ravi Varadhan, Ph.D.
Assistant Professor,
Division of Geriatric Medicine and Gerontology
School of Medicine
Johns Hopkins University
Ph. (410) 502-2619
email: rvarad...@jhmi.edu
- Original Message -
From: joris meys
Date: Tuesday, March 17, 2009 7:37 pm
Subject: [R] Likel
lier
f[2] <- 1 + 2 * x[2] * x[3]
f[3] <- x[1]^2 + x[2]^2 - 1 # the equality constraint
f
}
dfsane(par=rep(0, 3), fn=f2)
Ravi.
----
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
D
the penalty
}
ans
Hope this helps,
Ravi.
----
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns Hopkins University
Ph: (410) 502-2619
Fax: (410) 614-9625
Email: rvarad...@jhmi.edu
We
guidance.
Ravi.
____
Ravi Varadhan, Ph.D.
Assistant Professor,
Division of Geriatric Medicine and Gerontology
School of Medicine
Johns Hopkins University
Ph. (410) 502-2619
email: rvarad...@jhmi.edu
- Original Message -
From: Paul Smith
Date: M
systems to solve a univariate problem, but it seems to work.
Hope this helps,
Ravi.
----
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns Hopk
Look at:
?update
For example:
lm.obj <- lm (y ~ x1 + ... + x300)
lm.obj1 <- update(lm.obj, . ~ . - x1)
lm.obj2 <- update(lm.obj1, . ~ . - x2)
Ravi.
____
Ravi Varadhan, Ph.D.
Assistant Professor,
Division of
?try
For example,
for (i in 1:n) {
try (fit <- nls(...), silent=TRUE)
if (class(fit) != "try-error") dowhateverthatneedstobedonewiththeresults
else fit <- NA
}
Ravi.
----
---
Ravi Varadhan,
You got an "A+" on the homework, Doug!
I got a "C-" for suggesting svd(), which clearly doesn't yield a lower (or
upper) triangular factorization.
Ravi.
----
---
Ravi Varadhan, Ph.D.
Assist
.02357989
$v
[,1] [,2][,3]
[1,] 0.08585595 -0.2420411 0.96645997
[2,] 0.40826313 -0.8763116 -0.25573252
[3,] 0.90881790 0.4165261 0.02357989
>
Ravi.
----
---
Ravi Varadhan, Ph.D.
Ass
Deriv"
package.
Ravi.
____
Ravi Varadhan, Ph.D.
Assistant Professor,
Division of Geriatric Medicine and Gerontology
School of Medicine
Johns Hopkins University
Ph. (410) 502-2619
email: rvarad...@jhmi.edu
- Original Message
Try the package "Rdonlp2", which can handle general, nonlinear, equality and
inequality constraints for smooth optimization problems.
Ravi.
____
Ravi Varadhan, Ph.D.
Assistant Professor,
Division of Geriatric Me
Check out:
?optim
?nlminb
Ravi.
Ravi Varadhan, Ph.D.
Assistant Professor,
Division of Geriatric Medicine and Gerontology
School of Medicine
Johns Hopkins University
Ph. (410) 502-2619
email: rvarad...@jhmi.edu
Check out the crr() function in the same package:
library(cmprsk)
?crr
Ravi.
Ravi Varadhan, Ph.D.
Assistant Professor,
Division of Geriatric Medicine and Gerontology
School of Medicine
Johns Hopkins University
Ph. (410) 502
.
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns Hopkins University
Ph: (410) 502-2619
Fax: (410) 614-9625
Email: rvarad...@jhmi.edu
Webpage: http://www.jhsph.edu
ontrol the frequency of output, i.e. settig triter=1,
will give you the fn and gr values at each iteration.
library(BB)
?spg
Hope this helps,
Ravi.
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on
s-Legendre quadrature.
Ravi.
-------
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns Hopkins University
Ph: (410) 502-2619
Fax: (410
,
Ravi.
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns Hopkins University
Ph: (410) 502-2619
Fax: (410) 614-9625
Email: rvarad
information from the second reference).
Ravi.
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns Hopkins University
Ph: (410) 502
Ravi.
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns Hopkins University
Ph: (410) 502-2619
Fax: (410) 614-9625
Email: rvarad...@jhmi.edu
Webpage: http://www.jhsph.edu/agingandh
.
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns Hopkins University
Ph: (410) 502-2619
Fax: (410) 614-9625
Email: rvarad...@jhmi.edu
Webpage: http://www.jhsph.edu
36.29
at x=0.
If the singularity at x=0 is not an essential one, you may be able to
anayticallty remove this singularity.
Ravi.
----
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
ve more general equality/inequality
constraints
Best,
Ravi.
____
Ravi Varadhan, Ph.D.
Assistant Professor,
Division of Geriatric Medicine and Gerontology
School of Medicine
Johns Hopkins University
Ph. (410) 502-2619
email: rva
I assume that you are looking to solve, in R, the constrained optimization
problem:
H (u1, u2) = a*u1+b*u2+c*f1(u2)+lambda*(x')
with constraints: 0
Date: Thursday, February 5, 2009 8:47 am
Subject: [R] optimal control, maximization with several variables?
To: R-help@r-project.org
>
largest model, i.e
none of the variables in the largest model should have any missing values.
Then run stepAIC on this dataframe.
Best,
Ravi.
Ravi Varadhan, Ph.D.
Assistant Professor,
Division of Geriatric Medicine and
.
Best,
Ravi.
____
Ravi Varadhan, Ph.D.
Assistant Professor,
Division of Geriatric Medicine and Gerontology
School of Medicine
Johns Hopkins University
Ph. (410) 502-2619
email: rvarad...@jhmi.edu
- Original Message -
From: June Wong
Date: Wednesday, Janu
able to come up with multiple (sensible) starting
values.
Ravi.
----
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns Hopkins University
rn the function values at all the points in the vector.
"sapply" is an easy way to do this.
Ravi.
----
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medic
nction(p)
x1 <-seq(-5, 5, length=100)
plot(x1, fn(x1),type="l")
lines(x1, pfunc(x1), col=2, lty=2)
solve(p) # gives you the roots (some are, of course, complex)
Hope this helps,
Ravi.
____
Ravi Varadhan, Ph.D.
Ass
del2, model1)
Best,
Ravi.
____
Ravi Varadhan, Ph.D.
Assistant Professor,
Division of Geriatric Medicine and Gerontology
School of Medicine
Johns Hopkins University
Ph. (410) 502-2619
email: rvarad...@jhmi.edu
- Original Message -
From: Serguei Kaniovski
Date: Wednesday, December 24,
n both the shape and the
rate parameter (hence a different optimziation algorithm will be used in
"optim").
Best,
Ravi.
____
Ravi Varadhan, Ph.D.
Assistant Professor,
Division of Geriatric Medicine and Gerontology
Scho
ute everything to
the model fit, while the remaining PCs will contribute zilch. They
illustrate this phenomenon with a "real" data set from a classic text on
regression, Draper and Smith.
Ravi.
----
---
Ravi V
selection, the criterion
that is optimized is never explicitly considered.
Ravi.
----
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns Hop
cites F&H for the data).
Best regards,
Ravi.
----
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns Hopkins University
Ph: (410) 502
].
Ravi.
-------
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns Hopkins University
Ph: (410) 502-2619
Fax: (410) 614-9625
Email: [EMAIL PROTECTED]
Webpage: http://www.jhsph.edu/agingandhealth/Peop
Terry Therneau knows the answer?!
Ravi.
----
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns Hopkins University
Ph: (410) 502-2619
Fax: (410) 614-9625
Email: [EMAIL PROTECTED]
Webpage: http://www.jhsph.edu/agin
6 vs 0.86. In
any case, the point is not whether the differences in coefficient affect
interpretation of the model, but to understand why there are differences in
the results.
Best,
Ravi.
----
---
Ravi Varadhan, Ph.
lihood?
Can anyone help me figure out why this diescrepancy exists?
Thanks very much,
Ravi.
----
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Best,
Ravi.
----
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns Hopkins University
Ph: (410) 502-2619
Fax: (410) 614-9625
Email: [EMAIL PROTECTED]
Webpage: http:
Thank you,
Ravi.
----
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns Hopkins University
Ph: (410) 502-2619
Fax: (410) 614-9625
Email: [
en( solve(ans$hess) )$val
Hope this is helpful,
Ravi.
----
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns Hopkins University
Ph: (410) 502-2619
Fax: (41
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