Hi,
Another way of constructing CIs across trees is to assume a tree model and then
integrate over all trees. We (with Serik Sagitov) have done this for the
primary optimum parameter in the OU (paper still under review) :
Krzysztof Bartoszek, Serik Sagitov
Phylogenetic confidence intervals for th
Hi Chad,
I would also follow Aaron in asking why you want a particular number?
You might want to take a look at the paper I co-authered :
Krzysztof Bartoszek, Jason Pienaar, Petter Mostad, Staffan Andersson and Thomas
F. Hansen, A phylogenetic comparative method for studying multivariate
adaptati
Dear Santiago,
To add to what Brian wrote there is also the mvSLOUCH package on CRAN - a
multivariate generalization of slouch. It allows of course for also a
univariate analysis. It also allows
for a multi/univariate OU analysis. In all OU cases you can have multiple
thetas on the tree.
Hope th
Hi Gabriela!
You can also use the mvSLOUCH package (
http://cran.r-project.org/web/packages/mvSLOUCH/ )
and the functions :
simulBMProcPhylTree
simulMVSLOUCHProcPhylTree
simulOUCHProcPhylTree
You probably will want the first function which is for the Brownian Motion
process.
Best wishes
Krzy
Hi Dan,
You might be interested in looking at my package mvSLOUCH (
http://cran.r-project.org/web/packages/mvSLOUCH/ ) and the paper :
Krzysztof Bartoszek, Jason Pienaar, Petter Mostad, Staffan Andersson and Thomas
F. Hansen, A phylogenetic comparative method for studying multivariate
adaptation
Dear Kasper,
Comparing simulated and real data always gives you some understanding of the
dynamics, however a test on the equality of distributions
(Kolmogorov–Smirnov, Shapiro–Wilk) would be interesting to employ,
However you would first need to make your data independent (by multypling the
da
Hi Jorge!
Since you use polytomies to represent your different populations then your
different
populations are conceptually the same as different species. If you can assume
that there was no interaction between the different populations since the
divergence point of the polytomy then I see no (s
Hi Daniel,
>From your description the functions simulOUCHProcPhylTree() and
>simulMVSLOUCHProcPhylTree()
do what you write about - they simulate multivariate OU processes and you may
paint the regimes on the tree however you like. In your case - you have one
global regime with different values f
Hi Aaron, Cody and Julien!
Cody I agree with Julien that you are mainly interested in whether the
off-diagonals in A are zero or non-zero. The off diagonals in sigma
would mean there is correlation but due to strange effects. You should
also try with triangular A matrices - i.e. you may have ad
Hi Nathan,
A bit late answer due to vacation but you can also try to use my mvSLOUCH
package (on CRAN). While it (still) does not allow for explicit fossil species
you can a very short tip branch at the place where the fossil should be. For
missing observations you write NAs, the package has no
Hi Sandra, Julien and Liam!
One thought that I had is since you have an environmental variable and one
supposedly correlated with it is that then the slouch/mvSLOUCH (on CRAN) models
could be a possibility? In them you can have the environmental variable(s)
evolving as a Brownian motion (i.e. ra
Hi Julien,
You are right that power is a big (and generally still unexplored in the PCM
context) issue.
One way to address the question is after estimating the parameters of the
BM/OU/mvSLOUCH model
you can calculate the covariance/correlation function of the traits, say
Cov(Y)(t)/Corr(Y)(t) w
Hi Gabriel,
I did some work in that direction but it is not out on CRAN yet. PM me
(bartosze...@gmail.com or krzysztofbartos...@wp.pl) what you need and I'll
provide you with code if I have it.
Cheers
Krzysztof
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R-sig-phylo mailing list - R-sig-phy
Dear Skylar,
The data you have fit into the framework of PCMs with measurement error that
we desribed in
T. F. Hansen and K. Bartoszek. "Interpreting the evolutionary regression: the
interplay between observational and biological errors in phylogenetic
comparative studies". In: Systematic Biolog
Dear all,
Please feel free to spread around if you think anyone might be interested:
Thank you
Best wishes
Krzysztof Bartoszek
Ph.D. opportunity in plant evolutionary biology
Nicolaus Copernicus University, Torun, Poland
The Chair of Ecology and Environment Protection
(http://www.keib.umk.pl/?la
Dear all,
If you know of anybody that could be interested in the below position please
forward it to them.
Best wishes
Krzysztof Bartoszek
Ph.D. opportunity in plant evolutionary biology
Nicolaus Copernicus University, Torun, Poland
The Chair of Ecology and Environment Protection
(http://www.
Dear Zach,
You can also have a look at mvSLOUCH (on CRAN). If you have only two traits it
will be similar to SLOUCH and mvMORPH (maybe mvSLOUCH will have more detailed
output). But mvSLOUCH will also allow you to model multiple correlated traits
responding to (multiple correlated) BM traits.
Be
Hello all, At the Division of Statistics and Machine Learning, Department of
Computer Science, Linkoping University we have opened a PhD student in
Statistics position that is related to phylogenetic comparative methods :
liu.se liu.se www.ida.liu.se www.ida.liu.se Please feel free to sprea
Dear all, I wanted to let you know about four PCM packages that have become
available on (3 on CRAN and 1 on GitHub) recently that hopefully will be
interesting to somebody. 1) There is a new version of mvSLOUCH available. The
most important change is that the inference engine has been compl
Dear Karla, Concerning the n that should be passed to AICc I agree with what
was previously written that this is a complex, case by case issue. One can have
a number of ways to define what could be used in place of n. However, at
least in the one dimensional, BM and OU for me it seems that if
Dear all, At the Division of Statistics and Machine Learning, Department of
Computer and Information Science, Linköping University, Sweden, 14th-19th May
2020, we will be hosting a school concerning stochastic differential equations
and the YUIMA R package (Simulation and Inference for SDEs an
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