Displaying 20 results from an estimated 400 matches similar to: "Optmatch Package Question"
2012 Dec 18
1
pscore.dist problem when running optmatch
Hello
My optmatch package is loaded and otherwise running fine.
I get an error after lcds successfully completes logistic regression and
I'm trying to obtain a propensity score:
> pdist <- pscore.dist(lcds)
Error: could not find function "pscore.dist"
I searched the help files, other online sources, could find no answer for
this.
Any advice would be greatly appreciated!
2007 Jul 03
1
MatchIt package on Ubuntu 7.04 (Feisty Fawn)
UseRs,
I tried to install the MatchIt package on Ubuntu 7.04. When loading required dependencies I got the following error message:
Error in dyn.load(x, as.logical(local), as.logical(now)) :
unable to load shared library '/usr/local/lib/R/site-library/optmatch/libs/optmatch.so':
/usr/local/lib/R/site-library/optmatch/libs/optmatch.so: cannot map zero-fill pages: Cannot
2008 Sep 18
5
propensity score adjustment using R
Hi all,
i am looking to built a simple example of a very basic propensity
score adjustment, just using the estimated propensity scores as
inverse probability weights (respectively 1-estimated weights for the
non-treated). As far as i understood, MLE predictions of a logit model
can directly be used as to estimates of the propensity score.
I already considered the twang package and the
2018 Oct 21
2
Instalar paquetes antiguos en Windows 10
Hola a todos! Espero que alguien me pueda echar algo de luz al problema que tengo.
Estoy intentando instalar algunos paquetes antiguos en R (3.3.0), como ?devtools? en su penúltima versión, y me está resultando imposible. Instalé Rtools y R me dice que funciona, pero no consigo hacer que se instale el paquete. He probado bajando el paquete en formato .tar.gz y luego con las instrucciones:
2012 Jul 15
1
how to extract p-value in GenMatch function
Dear R-Users,
I have a problem on extracting T-Stat and P-Value. I have written R-code below
library("Matching")
data("lalonde")
attach(lalonde)
names(lalonde)
Y <- lalonde$re78
Tr <- lalonde$treat
glm1 <- glm(Tr~age+educ+black+hisp+married+nodegr+re74+re75,family=binomial,data=lalonde)
pscore.predicted <- predict(glm1)
rr1 <-
2008 Oct 29
1
Is anyone using * for 2 way video conferencing?
Hi,
One of my clients, wants to use * box to run weekly meetings between remote
locations over the internet.
What would be the best configuration for this? We are talking about two
conference rooms.
I am referring to the actual hardware/software and bandwidth requirements
for this to work well.
I have run two software video phones and I had marginal results with it when
displayed on large LCDs,
2005 Jun 17
1
Re: screen fonts -- LCD and Analog Connections ...
Ryan wrote:
> I did, 1024x768.
> Sorry, analog
Matthew Miller wrote:
> Maybe the problem is just in that adjustment, then.
Yes. You need to have your signaling _exact_ when dealing with LCDs.
Some are very good at taking the timings of VESA standards. But some
support some eccentric Windows timings that are _not_ the exact same
as VESA. Or maybe you have configured your monitor for
2004 Jul 07
4
Small Linux Distro
Does anyone have a current, stripped linux distro which has only
asterisk and net drivers?
If so do you have it available somewhere?
I guess also, my question could be, does anyone know of a small
distro, which will run asterisk.
When I say small I mean <700Mb
Also, anyone got any sites on hand which would point to ways to make
linux start up faster?
(BTW this is all in aid of making
2008 Nov 09
1
[OT] propensity score implementation
Dear All,
My question is more a statistical question than a R question. The reason I
am posting here is that there are lots of excellent statistician on this
list, who can always give me good advices.
Per my understanding, the purpose of propensity score is to reduce the bias
while estimating the treatment effect and its implementation is a 2-stage
model.
1) First of all, if we assume that T =
2006 Sep 22
1
Propensity score and three treatments
Dear All,
I would like to find something ( references, code,..) to implement a
comparison of three
treatments in an observational study using the 'Propensity Score'.
Any help is much appreciated. Thanks!
Giovanni
--
dr. Giovanni Parrinello
Department of Biotecnologies
Medical Statistics Unit
University of Brescia
Viale Europa, 11 25123 Brescia
email: parrinel at med.unibs.it
Phone:
2005 Apr 05
1
exclusion rules for propensity score matchng (pattern rec)
Dear R-list,
i have 6 different sets of samples. Each sample has about 5000 observations,
with each observation comprised of 150 baseline covariates (X), 125 of which
are dichotomous. Roughly 20% of the observations in each sample are "treatment"
and the rest are "control" units.
i am doing propensity score matching, i have already estimated propensity
scores(predicted
2012 Dec 08
1
imputation in mice
Hello! If I understand this listserve correctly, I can email this address
to get help when I am struggling with code. If this is inaccurate, please
let me know, and I will unsubscribe.
I have been struggling with the same error message for a while, and I can't
seem to get past it.
Here is the issue:
I am using a data set that uses -1:-9 to indicate various kinds of missing
data. I changed
2011 Jul 30
2
NAN problem
Hi All,
Did anyone else have a problem like this? I am sorry if its a small issue, I
seem to not understand what to do to get rid of this error.
> Sigma
[1] 0.1939025
> MuRest
[1] 8.512772
> TauZero
[1] 0.1
> curve(qlnorm(x,-TauZero+MuRest, Sigma,lower.tail=F), xlim=c(4000,9000),
ylim=c(0,.99),xlab="", ylab="")
Warning message:
In qlnorm(p, meanlog, sdlog,
2003 Jun 18
1
Ltsreg and nsamp="exact"
I'm trying to use least trimmed squares using ltsreg with nsamp="exact".
When I use the following:
rg <- ltsreg(x,y,nsamp="exact")
I get:
Error in lqs.default(x, y, nsamp = "exact", method = "lts") :
NAs in foreign function call (arg 10)
In addition: Warning message:
NAs introduced by coercion
Incidentally, there are no missings in x or y,
2011 Mar 25
1
Matching package - Match function
Hi.
I am using the Matching package for propensity score matching. For each
treated unit, I want to find all control units whose propensity scores lie
within a certain distance from the treated unit. The sample code is as
follows:
> library(Matching)
> x <- rnorm(100000)
> y <- rnorm(100000)
> z <- rbinom(100000,1,0.002)
> logit.reg <-
2020 Oct 09
3
Question about the package "MatchIt"
Hi! I'm trying to perform propensity score matching on survey data and so
for each individual observation I have a statistical weight attached. My
question is: is there a way within the package to consider these weights in
the matching procedure?
Thank you very much.
--
Maria Cristina Maurizio
[[alternative HTML version deleted]]
2010 Apr 14
3
Office 2007: Arial font problem
Hello,
I installed Office 2007 Professionnal and get an issue (Wine 1.1.42 on Ubuntu Karmic Koala 9.10). I tried to fix it by installing core fonts and so on but nothing changed. Please have a look at this screenshot:
[Image: http://i46.tinypic.com/2ldc13m.jpg ]
As you see, the arial font looks awful. Did anyone managed to fix it ?
Regards,
RedVivi
2010 Jul 16
1
discrepancy matrix
Hi!
I want to create a discrepancy matrix.
I have got a data.frame Q:
number colour date
2 343 b 1503
3 678 g 1701
4 347 b 1904
5 345 b 2001
6 123 g 1809
Now i want to create a matrix, whose entries are the total differences
between the ranks of number and date for each
2023 Oct 20
0
UseMethod forwarding of local variables
UseMethod has since the beginning had the 'feature' that local
variables in the generic are added to the environment in which the
method body is evaluated. This is documented in ?UseMethod and
R-lang.texi, but use of this 'feature' has been explicitly discouraged
in R-lang.texi for many years.
This is an unfortunate design decision for a number of reasons (see
below), so the plan
2020 Nov 12
1
Propensity Score Matching
Hola chic en s, alguien con experiencia en propensión score matching?
Planteo duda: Clasicamente el PSM se ha utilizado en un intento de homogeneizar cohortes de enfermos quienes han estado ?expuestos? a un tratamiento x Vs aquellos que no han estado expuestos (no expuestos). Esto aplica para medicamentos o procedimientos quirúrgicos o no.
Bien, En algún articulo he leído que el PSM se puede