Displaying 20 results from an estimated 10000 matches similar to: "Bayesian Code for contingency tables"
2009 Jun 10
1
Analisys in Multidimensional contingency tables
Dear R-list,
Hi everyone, Im trying to make an analysis of multidimensional contingency
tables using R. I' working with the Agresti example where you have the
data from 3 categories. The thing is how can I do the analisys using the
G2 statistics. Somebody can send me an Idea?
I attach the program where you can find the data.
Best Regards,
> prob1<-
2008 Apr 17
1
Row mean scores differ
Suppose that we have o 2-D contingency table where the row variable is nominal and the column one is ordinal. In SAS it is possible to compute the statistic named as row mean scores differ. How can we programmed it in R?
(See also Aggresti (2002), Categorical Data Analysis, p. 302)
With regards
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2010 Oct 22
2
Bayesian constrained regression method?
Hello everyone,
I am trying to estimate the parameter b.
I have Y and X1 which I know and they are both random. However, I also have
X2 which I don't know and is also random. I want to estimat b from the
model:
Y = b*X1 + ( 1 - b ) * X2
Can anyone offer some suggestions. The values of Y and X1 are both pvalues
so they are constrained in (0,1).
--
Thanks,
Jim.
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2009 Jul 30
1
Logistic regression and R
Hello everybody :-)
I have some data that I want to model with a logistic regression, most
of the independent variables are numeric and the only dependent is
categorical, I was thinking that I could apply a logistic regression
using glm but I wanted to deepen my knowledge of this so I tried to do
some reading and found the "iris" dataset, now I would like to ask two
things, first
2012 Jan 19
4
Bayesian data analysis recommendations
Dear all,
I am trying to learn Bayesian inference and Bayesian data analysis, I
am new in the field. Would any experts on the list recommend any good
sites or materials for beginners?
My approach is to learn and understand the theory first, then program
on my own using R, though I see there are already packages.
appreciate any help, thanks in advance!
2011 Aug 29
1
Generating contingency tables from the null
Hi all,
I have a 3x4 contingency table with row totals all being 100. I want to
generate 3 x 4 tables from the null distribution. Which R function can do
this?
--
Thanks,
Jim.
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2007 Jul 19
3
Can I test if there are statistical significance between different rows in R*C table?
Dear friends,
My R*C table is as follow:
better
good
bad
Goup1
16
71
37
Group2
0
4
61
Group3
1
6
57
Can I test if there are statistical significant between Group1 and
Group2, Group2 and Group3, Group1 and Group2, taking into the multiple
comparisons?
The table can be set up using the following program:
a<-matrix(data=c(16,71,37,0,4,61,1,6,57),nrow=3,byrow=TRUE)
Thanks
2008 Jan 17
1
'simulate.p.value' for goodness of fit
R Help on 'chisq.test' states that
"if 'simulate.p.value' is 'TRUE', the p-value is computed by Monte
Carlo simulation with 'B' replicates.
In the contingency table case this is done by random sampling from
the set of all contingency tables with given marginals, and works
only if the marginals are positive...
In the
2011 Jul 07
4
Simulating from the null distribution of a 2 x 3 table
Dear all,
I want to simulate from the null distribution of the following 2 x 3 table,
2 5 10
4 8 5
I am using a chi-squared test.
Anyone has any idea how to do this?
--
Thanks,
Jim.
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2009 Apr 24
1
ordinal logistic regression for longitudinal data set
Hi,
Can one tell me which procedure will fit an ordinal logistic regression
model for longitudinal data set.
To be precise, I have both dichotomous and polytomous items. Also, I
would like to specify different covariance structures (unstructured, ar1
etc) for trial runs.
Thanks
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2009 Oct 28
1
hierarchical partitioning in generalized linear mixed models
dear colleagues,
I want to use hierarchical partitioning methods to evaluate variance
contributions of differente predictors within a generalized linear
mixed model framework. I don't know if this is possible, because I can
not found anything about this issue. My error is poisson and I, at
least, a random factor in the designed analysis.
I acknowledge any idea about how deal with
2009 Feb 27
1
Ordinal Mantel-Haenszel type inference
Hello,
I am searching for an R-Package that does an exentsion of the Mantel-Haenszel test for ordinal data as described in Liu and Agresti (1996) "A Mantel-Haenszel type inference for cummulative odds ratios". in Biometrics. I see packages such as Epi that perform it for binary data and derives a varaince for it using the Robbins and Breslow variance method. As well as another pacakge
2005 Sep 19
3
Extended Hypergeometric Distribution
Dear R Users,
There exists a non-central hypergeometric distribution function in the (MCMCpack) package, and a hypergeometric distribution function in the (stats) package.
Is there a function for sampling from an extended hypergeometric distribution?
Thanks,
Narcyz
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2011 Aug 16
3
Bayesian Relative Survival Analysis in R?
Hi all,
May i know does R has packages or code to run "Bayesian Relative Survival Analysis"? I have look through Bayesian Survival Analysis(2001) by Joseph George Ibrahim<http://www.google.com/search?tbo=p&tbm=bks&q=inauthor:%22Joseph+George+Ibrahim%22>, Ming-Hui Chen<http://www.google.com/search?tbo=p&tbm=bks&q=inauthor:%22Ming-Hui+Chen%22>, Debajyoti
2004 Sep 15
3
getting started on Bayesian analysis
I am an economist who decided it's high time that I learned some
Bayesian statistics. I am following An Introduction to Modern
Bayesian Econometrics by T. Lancaster.
The book recommends using BUGS, but I wonder if there are any
alternatives which are free software and fully integrated to R (which
I have been using for more than two years for numerical computations.)
I would like to learn
2011 Jun 16
2
Bayesian Credible Intervals for a Proportion
I am trying to calculate Bayesian Credible Intervals for a proportion
(disease prevalence values to be more specific) and am having trouble using
R to do this. I am working with ncredint() function but have not had success
with it. Please help!
Example:
Positive samples = 3
Total sampled = 10
Prevalence = 0.3
pvec <- seq(1,10,by=1)
npost = dbinom(pvec,10,prob=0.3, log=FALSE)
ncredint(pvec,
2010 Apr 13
2
Getting Started with Bayesian MCMC
Hi all,
I would like to start to use R's MCMC abilities to compute answers in
Bayesian statistics. I don't have any specific problems in mind yet,
but I would like to be able to compute/sample posterior probabilities
for low-dimensional custom models, as well as handle "standard"
Bayesian cases like linear regression and hierarchical models.
R clearly has a lot of abilities in
2003 Aug 10
3
Support for Bayesian statistics in R
I'm just starting to learn to use R, and although I'm seeing lots of
functions aimed at doing orthodox statistical analyses, I don't see the
same for Bayesian analyses. What support does R have for Bayesian
statistics?
2009 Oct 22
4
Bayesian regression stepwise function?
Hi everyone,
I am wondering if there exists a stepwise regression function for the
Bayesian regression model. I tried googling, but I couldn't find anything.
I know "step" function exists for regular stepwise regression, but nothing
for Bayes.
Thanks
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2013 Mar 21
2
Bayesian network
HeLLo,
I'm new in R, I would like to use it for diagnostics with bayesian network,
I want to know how can I calculate inference and if can I enter my
probability tables like logical or arithmetic equation,
Thanks.
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