similar to: dynamic model strategy

--- On Mon, 3/12/12, aleksandr shfets <a_shfets at mail.ru> wrote: > From: aleksandr shfets <a_shfets at mail.ru> > Subject: Fwd: Re[2]: [R] B-spline/smooth.basis derivative matrices > To: "Vassily Shvets" <shv736 at yahoo.com> > Received: Monday, March 12, 2012, 5:15 PM > > > > -------- ???????????? ????????? > -------- > ?? ????:

Hello, I'm trying to understand grofit's estimation of models, and fairly new to growth models generally. The data used by grofit consists of the vector of "experiments", that is the growth values for a vector of individuals measured at different times. Can I understand correctly that the program estimates parameters for the growth model based on a regression(linear or non

Hello, Having measured two populations' characteristics at one particular time[with great precision] with R, I would like to extend this to measuring the same populations starting at t1, and then again at t2, and try to develop a growth model (something like dpop1/dt=r*pop^(...),dpop2/dt=r*pop^(...)). I think the idea is to create a model that will predict the growth of a population(N(mu,

Hello, I'm used to working with R in estimation of distributions and statistical models. I'd like to estimate a simple model of an output y(t) based on a concentration as independent variable, using a timed series of experimental data; I've seen this I think somewhere in R? I'd appreciate to hear if anybody has used this with success. regards, S

Dear All, I want to use grofit package for biological growth curves. My dataset only includes "age" variable and "size" variable. I want to use logistic, gompertz and richards growth curves to predict age from size. How can I implement this data set to the function in grofit package? Best regards, Deniz [[alternative HTML version deleted]]

Hi, I was wondering if someone might be willing to indulge a question about R and the estimation of a linear regression with time-varying coefficients. The model I am trying to estimate is of the form: y(t) = beta(t) * x(t) + v(t) beta(t) = gamma * beta(t-1) + w(t) where gamma is a constant, v(t) and w(t) are Gaussian innovations, and where y(t) and x(t) are univariate time series that are

Hi Is it possible to use grofit to get the AIC of several (e.g. two) growth models and compare both these and model parameters? All I can get it to do so far is return parameters for a single model. Cheers Roland [[alternative HTML version deleted]]

Hello, I would like to ask about the statistic used for initial values for models built with grofit. Is the mean (of the experiments or cases) at t1 used? Also at the other time points? regards, Russell [[alternative HTML version deleted]]

Does anyone know if it is possible to get the length of the log phase (the main growth phase) from a grofit logistic model? I can get the lag phase length, maximum growth and max rate of growth, but I also want to know the length of the log phase (ie, for how long do the bacteria grow exponentially?) Thank you for any help in advance [[alternative HTML version deleted]]

Hello all, I am working with the dlm package, specifcially doing a dlm multivariate Y linear regression using dlmModReg and dlmFilter and dlmSmooth... I have altereted the inputs into dlmModReg to make them time-varying using JFF, JW etc. How do I track the results of the time varying system matrices? For example what I am really interested in is JW - my system variance matrix for each time

Hello, I've noticed that SPLUS seems to have a function for evaluating derivative matrices of splines. I've found the R function that evaluates matrices from 'smooth.spline'; maybe someone has written something to do the same with smooth.basis? regards, s

  Hello, fellow R users,   I recently need to estimate a dynamic linear model in the following form:   For the measurement equation:   Y_t = F_t * a_t + v_t   where Y_t is the observation. It is a 1 by q row vector for each t. F_t is my forecasting variable. It is a 1 by p row vector. a_t is my state variable. It is a p by q MATRIX of parameters with each column of the matrix being regression

use multiple pages for the hash table. mainline git commit: 03d864c02c3ea803b1718940ac6953a257182d7a Authored-by: Daniel Phillips <phillips at google.com> Signed-off-by: Wengang Wang <wen.gang.wang at oracle.com> -- Index: ocfs2-1.2/fs/ocfs2/dlm/dlmdomain.c =================================================================== --- ocfs2-1.2/fs/ocfs2/dlm/dlmdomain.c (revision 1) +++

Signed-off-by: Christoph Hellwig <hch@lst.de> Index: linux-2.6/fs/ocfs2/cluster/tcp.c =================================================================== --- linux-2.6.orig/fs/ocfs2/cluster/tcp.c 2007-05-06 13:51:17.000000000 +0200 +++ linux-2.6/fs/ocfs2/cluster/tcp.c 2007-05-17 15:00:14.000000000 +0200 @@ -261,14 +261,12 @@ out: static void o2net_complete_nodes_nsw(struct o2net_node

#backporting the 3 patches at http://kernel.us.oracle.com/~smushran/srini/ to 1.2. enlarge hash_table capacity to fasten hash_table lookups. Signed-off-by: Wengang wang <wen.gang.wang at oracle.com> -- diff -up ./svnocfs2-1.2/fs/ocfs2/dlm/dlmdebug.c.orig ./svnocfs2-1.2/fs/ocfs2/dlm/dlmdebug.c --- ./svnocfs2-1.2/fs/ocfs2/dlm/dlmdebug.c.orig 2009-04-22 11:00:37.000000000 +0800 +++

Wether the dlm_lock needs to access lvb or not depends on dlm_lock_resource it belongs to. So a new parameter "struct dlm_lock_resource *res" is added to dlm_new_lock() so that we can know if we need to allocate lvb for the dlm_lock. And we have to make the lockres availale for calling dlm_new_lock(). Signed-off-by: Wengang Wang <wen.gang.wang at oracle.com> ---

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 This patch teaches the sles9 spec file to understand that configfs is built conditionally, and may not be present in the output. - -Jeff diff -ruNp ocfs2-1.2.5/vendor/sles9/ocfs2.spec-generic.in ocfs2-1.2.5.devel/vendor/sles9/ocfs2.spec-generic.in - --- ocfs2-1.2.5/vendor/sles9/ocfs2.spec-generic.in 2007-03-27 15:54:15.000000000 -0400 +++

We should check dlm->dlm_state under dlm->spinlock though maybe in this case it doesn't hurt. Signed-off-by: Wengang Wang <wen.gang.wang at oracle.com> --- fs/ocfs2/dlm/dlmdomain.c | 13 ++++++------- 1 files changed, 6 insertions(+), 7 deletions(-) diff --git a/fs/ocfs2/dlm/dlmdomain.c b/fs/ocfs2/dlm/dlmdomain.c index 6b5a492..ab82add 100644 --- a/fs/ocfs2/dlm/dlmdomain.c +++

Hello, I hope this mailing list is correct. I've a cluster pacemaker with a clone resource ocfs2 with ocfs2-tools-1.4.1-25.6.x86_64 ocfs2-tools-o2cb-1.4.1-25.6.x86_64 on Opensuse 11.2 After some network problem on my switch I receive on one of 4 nodes of my cluster the following messages Aug 18 13:12:28 nodo1 openais[8462]: [TOTEM] The token was lost in the OPERATIONAL state. Aug 18 13:12:28

o2dlm join and leave messages are more than informational as they are required is debugging locking issues. This patch changes them from KERN_INFO to KERN_NOTICE. Signed-off-by: Sunil Mushran <sunil.mushran at oracle.com> --- fs/ocfs2/dlm/dlmdomain.c | 6 +++--- 1 files changed, 3 insertions(+), 3 deletions(-) diff --git a/fs/ocfs2/dlm/dlmdomain.c b/fs/ocfs2/dlm/dlmdomain.c index