search for: discnp

Hi all, I am using a discrete Hidden Markov Model with discrete observations in order to detect a sequence of integers. I am using the "hmm.discnp" package. I am using the following code: signature <- c(-89, -98, -90, -84, -77, -75, -64, -60, -58, -55, -56, -57, -57, -63, -77, -81, -82, -91, -85, -89, -93) quant <- length(-110:-6) # Initialize and train the hmm with the observed sequence mentioned above. # "yval" list...

(I think) I'd like to use the hmm.discnp package for a simple discrete, two-state HMM, but my training data is irregularly shaped (i.e. the observation chains are of varying length). Additionally, I do not see how to label the state of the observations given to the hmm() function. Ultimately, I'd like to 1) train the hmm on labeled d...

...eotide 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 continuous-time condition. Other two HMM related packages, hmm.discnp and repeats, however, does not have such a function (similar to "hmmviterbi()" function in MatLab). Is there an R package that implements such a function? Thanks, Wuming

Hi, Is there a package that will estimate simple Markov models and hidden Markov models for discrete time processes in R? Thanks in advance, David -- =============================================================== David Kaplan, Ph.D. Professor Department of Educational Psychology University of Wisconsin - Madison Educational Sciences, Room, 1061 1025 W. Johnson Street Madison, WI 53706

Hi r-help, I have been using your RHmm package for some time and have recently had to try using the package for a new dataset. Basically I have a dataset with a number of discrete observation variables that change over time, and I would love to try modeling them using a HMM. Basically I was wondering if RHmm can be used to model a multivariate discrete HMM, i.e., the observations are a vector

...#failPackages is the "black list". # Things that don't build cleanly with FC4, but I # hope it will build someday soon. failPackages <- c("deldir","frailtypack","fSeries","fCalendar","fExtremes","fPortfolio","hmm.discnp","knncat","labdsv","survrec", "SciViews","RGrace","uroot","fMultivar","fOptions","gcmrec","rcom","Rlsf") #list of all currently installed packages installedPackages <- rownames (in...

...#failPackages is the "black list". # Things that don't build cleanly with FC4, but I # hope it will build someday soon. failPackages <- c("deldir","frailtypack","fSeries","fCalendar","fExtremes","fPortfolio","hmm.discnp","knncat","labdsv","survrec", "SciViews","RGrace","uroot","fMultivar","fOptions","gcmrec","rcom","Rlsf") #list of all currently installed packages installedPackages <- rownames (in...

I previously sent a cri de coeur about this problem to the r-help list but so far have not managed to extract a solution. So I am trying here. (Uh, Ubuntu *is* a "special instance" of Debian, isn't it?) The problem is that I cannot install rgdal, and I need it. Rather desperately. I do: install.packages("rgdal",lib="/home/rolf/Rlib") and get the error

...","gtools","hapassoc","haplo.ccs","haplo.stats","hapsim","hddplot","hdf5","hdrcde","hett","HI","hier.part","hierfstat","HighProbability","Hmisc","hmm.discnp","homals","hopach","howmany","HSAUR","HTMLapplets","httpRequest","hwde","hybridHclust","HyperbolicDist","ICE","Icens","IDPmisc","ifs","igraph","iid.t...

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CRAN (and crantastic) updates this week New packages ------------ * allan (1.0) Alan Lee http://crantastic.org/packages/allan Automates Large Linear Analysis Model Fitting * andrews (1.0) Jaroslav Myslivec http://crantastic.org/packages/andrews Andrews curves for visualization of multidimensional data * anesrake (0.3) Josh Pasek http://crantastic.org/packages/anesrake This