Displaying 6 results from an estimated 6 matches for "pweights".
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2005 Oct 04
1
"Survey" package and NAMCS data... unsure of specification
Hello, all.
I wanted to use the "survey" package to analyze data from the National
Ambulatory Medical Care Survey, and am having some difficulty translating
the analysis keywords from one package (Stata) to the other (R). The data
were collected using a multistage probability sampling, and there are
variables included to identify the sampling units and weights. Documentation
from the
2009 Apr 05
4
predicting values into the future
Hi:
I have usually used the GROWTH() excel function to do this but now want to see if I can do this with R.
I want to predict values into the future, possibly with the predict.arima Function.
I have the following weekly fish weight averages:
weight <- c("2.1","2.4","2.8","3.6","4.1","5.2","6.3")
week <-
2008 Sep 23
1
Weights for polr
...weighted survey
sample. polr permits case weights with the "weights" option, but I cannot
figure out from existing documentation what it actually does with these
weights. I'm concerned about this because I get somewhat different
results using Stata's ologit command with the pweights option and very
different results using proc logistic in SAS with its weight option. So
my basic question is whether or not it is appropriate to use the weight
option for polr with my data.
Best,
Greg
.............................................................
Gregory Wawro...
2011 Mar 26
0
Sampling Weights in HB Choice Modelling (e.g., rhierMnlRwMixture)
Is anyone familiar with a way to account for sampling weights (e.g., in order
to cope with selection bias) for individual respondents using the bayesm
package (e.g., rhierMnlRwMixture)?
In the regular MNL this can easily be done in STATA using the mlogit
function with pweights option. However, I am unfamiliar with a way to do it
in HB estimation.
Any help or hints are appreciated.
Best, Klaus
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2008 Sep 09
1
survey package
Version 3.9 of the survey package is now on CRAN. Since the last
announcement (version 3.6-11, about a year ago) the main changes are
- Database-backed survey objects: the data can live in a SQLite (or other
DBI-compatible) database and be loaded as needed.
- Ordinal logistic regression
- Support for the 'mitools' package and multiply-imputed data
- Conditioning plots,
2008 Sep 09
1
survey package
Version 3.9 of the survey package is now on CRAN. Since the last
announcement (version 3.6-11, about a year ago) the main changes are
- Database-backed survey objects: the data can live in a SQLite (or other
DBI-compatible) database and be loaded as needed.
- Ordinal logistic regression
- Support for the 'mitools' package and multiply-imputed data
- Conditioning plots,