similar to: grofit

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

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]]

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]]

Hello, I'm writing about msm. It may be that consistent users of Markov models have a good idea as to what constitutes workable data for a model. I think of general rules, in basic statistical studies where n is limited to exclude fairly precise figures in the lower range. On the other hand Markov models don't seem to be often enough used for parameters to be as well laid out. I also

Thank you for your prompt answer. The breathing signal observations are the amplitude values as a function of time and phase. According to our model the hidden states are the different breathing types. Subjects, whose respiratiion process is regular, are likely to breathe, keeping the same cycle pattern/type, for many consecutive cycles. therefore dwelling in the same hidden state. The more

Hello, I'm wondering if anyone has used the msm package to compute the steady state probabilities for a Markov model? thanks, Russell

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]]

Dear list, This question is about Hidden Markov Model. Given a transition matrix, an emission matrix and a sequence of observed symbols (actually, nucleotide sequences, A, T, C and G), I hope to predict the sequence of state by Viterbi algorithm. I searched R repository for related packages. msm package has function viterbi.msm (as well as very good document), but it only works for

Greetings, I'm using MSM (mutli-state markov modeling) package to study the progression of fibrosis in U.S hepatitis C population. I find this is a very fascinating tool for an applied researcher like myself. I have a four stage progression only model without any absorbing stage, also assuming no misclassification error in the data for the time being. I also have a couple covariates in the

We are trying to build a human respiration model. Preliminary analysis of some breathing signals has shown that humans breathe through switching among a finite number of patterns. Hidden Markov seems to be the right approach. Since most of our code is written in R scripting language, finding an R package implementing an HMM that we can use for our prototype would be very helpful. I have been

Dear R community, I am looking for an R package or other software to study hidden Markov models. I need to be able to incorporate multivariate emissions and covariates for the transition probabilities. The msm package seems almost perfect for my purpose, but I do not think it allows multivariate emissions. I will be grateful for your suggestions. All the best, -- Emilio A. Laca One

Dear list, Hi, I am trying to get the second derivative of a logistic formula, in R summary the model is given as : ### >$nls >Nonlinear regression model >model: data ~ logistic(time, A, mu, lambda, addpar) >data: parent.frame() > A mu lambda >0.53243 0.03741 6.94296 ### but I know the formula used is #

Hello, I was curious if there was a complex valued matrix exponential function available for R? I have some Laplace transforms of occupation times for a hidden Markov model. The matrix exponential function in the msm package does not seem to handle complex values. For example > MatrixExp(diag(1i,2)) [,1] [,2] [1,] 1 0 [2,] 0 1 Warning message: imaginary parts

Folks, I am holding a dataset where firms are observed for a fixed (and small) set of years. The data is in "long" format - one record for one firm for one point in time. A state variable is observed (a factor). I wish to make a markov transition matrix about the time-series evolution of that state variable. The code below does this. But it's hardcoded to the specific years that I

There is currently a mixture of octal and symbolic permissions uses in files in drivers/gpu/drm and one file in drivers/gpu. There are ~270 existing octal uses and ~115 S_<FOO> uses. Convert all the S_<FOO> symbolic permissions to their octal equivalents as using octal and not symbolic permissions is preferred by many as more readable. see: https://lkml.org/lkml/2016/8/2/1945 Done

hi all i started recently using R and i found myself stuck when i try to analyze microarray data. i use the "affy" package to obtain the intensities of the probes, i have two CTRs and two treated. HG.U133A.Experiment1.CEL HG.U133A.Experiment2.CEL HG.U133A_Control1.CEL HG.U133A_Control2.CEL 1007_s_at 2156.23115 467.75615 364.60615 362.11865

I would be grateful for advice about the following problem. It's not directly R-related, but I'm hoping that R will help me analyse the following data. I have a table which indicates the progression of a certain age-related disease. At a certain point in time, a population was sampled; and I have measurements for the age of each individual, and their disease stage. (Disease stage is an

Dear List,   I have some longitudinal data, each patient was followed at times 0, 12, 16, 24 weeks and measure severity of a illness (0-worse, 1-same, 2-better). So, longitudinal response is categorical.  I was wondering whether lmer in R can fit a model for this type of data. If so, how we code? Or any other function in R that can fit this type of longitudinal data? Any suggestion would be

Hello, I'm hoping someone may know the most likely R package for a multivariate population model for comparing groups? That is, I'd like to estimate a (stochastic) model for one batch of experiments against a different batch growing under different conditions. I'm a bit familiar with grofit, but also reading about dse and dlm. Following Bolker's Ch. 11 it seems there are many paths

I am reading the comprehensive on-line documentation about msm. The positive side is that it seems it has been designed for biomedical statistics, like Clinical Trials. The bad side is that it does not seem to model observations sequences that are not independent but instead are autocorrelated, as it is my case. I did not find any mention to correlated observations therefore I assume the authors