similar to: On the probabilistic distribution

Hi, I'm working on a classification problem and one of the methods I'd like to use are neural networks. I've been using nnet to build a classification network. However I would like to have the probabilities associated with the prediction. Are there any implementations of probabilistic neural networks available in R? thanks,

Hello, I'm a new user to R and need some help coding a mathmatically simple aggregation of normal distributions. I have three normal distributions: A ~ N(8.51, 4.24^2) B ~ N(7.57, 3.62^2) C ~ N(10.84, 6.59^2) with correlation coefficients of: rho(AB) = 0.710 rho(AC) = 0.263 rho(BC) = 0.503 and I want to simulate Z = A + B + C, showing the results on a plot and fitting a distribution to the

Hi all, public-inbox allows searching for git blob names (e.g. "badc0ffee") in patches. Initially, I chose to use add_prefix for probabilistic terms, since I assumed it could be a superset of what boolean searching offered. Unfortunately, it doesn't seem to be the case because stemming is interfering. So switching to boolean filtering seems to work; and it is fine for mechanical

Sorry this may well be defined as Off Topic. I apologize in advance. I am interested in performing what I think would be a probabilistic sensitivity simulation. I've done some crude ones before in excel but I'm wondering if R can help me do it more effectively? I have a set of theoretical variables for simplicity lets use (what I think) is an easier example: I have a peg and a hole

*Fluidshopping is a Berlin-based startup working on a customer analytics tool for online retailers. Customer Lifefitime Value (CLV) is the mythical 'magic number', the amount of money a particular customer will ever bring in. Knowing your CLV makes it trivial to: - optimize marketing spend for different inbound channels. - identify your highest value customers, - identify those in danger

Hi, I am using iproute2 to setup fowarding, adding routes like "ip route add 192.168.1.3 via 192.168.1.2" I was wondering where in the kernel I can insert probabilistic packet loss only for forwarded packets? So that for instance I can drop 5% of all forwarded packets? I don''t need help with the actual code, just need help finding where to insert this code :) Thanks! George

X2R is a bundle of three software libraries for passing complicated data structures from Fortran, C/C++, or AD Model Builder to R. An update has been sent to CRAN and should be available from mirrors shortly. From the menu at the left of the CRAN home page, look under Software / Other. We also have updated FishGraph, a compatible set of R functions for examining output from fish population

X2R is a bundle of three software libraries for passing complicated data structures from Fortran, C/C++, or AD Model Builder to R. An update has been sent to CRAN and should be available from mirrors shortly. From the menu at the left of the CRAN home page, look under Software / Other. We also have updated FishGraph, a compatible set of R functions for examining output from fish population

Oceana Data & Fishery Analyst - Global Fishing Watch http://oceana.org/employment-opportunities/oceana-data-fishery-analyst-global-fishing-watch The Oceana Data and Fishery Analyst position located in Washington, DC will be the lead Oceana data analyst for an exciting new web-based tool called Global Fishing Watch (GFW). GFW is designed to make information on global fishing patterns

Dear useRs, I am pleased to announce the release of the new package PNN. PNN implements the algorithm proposed by Specht (1990). It is written in the R statistical language. It solves a common problem in automatic learning. Knowing a set of observations described by a vector of quantitative variables, we classify them in a given number of groups. Then, the algorithm is trained with this datasets

Dear useRs, I am pleased to announce the release of the new package PNN. PNN implements the algorithm proposed by Specht (1990). It is written in the R statistical language. It solves a common problem in automatic learning. Knowing a set of observations described by a vector of quantitative variables, we classify them in a given number of groups. Then, the algorithm is trained with this datasets

Hello, I'm using an SVM for predicting a model, but I'm most interested in the probability output. This is easy enough to calculate. My challenge is how to measure the relative performance of the SVM for different settings/parameters/etc. An AUC curve comes to mind, but I'm NOT interested in predicting true vs false. I am interested in finding the most accurate probability

hai, I want to perform a simulation like this仯伜 Suppose that I have one population ,it's size is 500, is composed of x,y and z. The probability of x, y and z is respectively is 0.3, 0.5, 0.2. I wan to simulate a new same size population based ratio of x, y and z, how can I get and assess the number of x, y and z. ? luan Key Laboratory for Sustainable Utilization of Marine Fisheries

Hi I have two processes which take with a certain probability (p1 and p2) x number of years to complete (age1 and age2). As soon as thge first process is completed, the second one begins. I want to calculate the time it takes for the both processes to be completed. I have the following script which gives me the answer, butI think there must be a more elegant way of doing the calculations

Dear all, After running a glm, I use the summary ( ) function to extract its coefficients and related statistics for further use. Unfortunately, the screen only displays a small (last) part of the results. I tried to overcome the problem by creating/saving an object "coef" for coefficients of the model and export/save it e.g. as a cvs document. While I succed with this operatiion, I do

Hi there, I am trying to run an MCMC on stable isotope data from certain organisms to determine their dietary habits in the package SIAR. I have prepared my data according to Inger, R., Jackson, A., Parnell, A., Bearhop, S. : SIAR V4 (Stable Isotope Analysis in R) an Ecologist's Guide (also better known as 'SIAR for dummies'), which is as follows: - consumer data table (columns

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I would like to run a GLMM on categorical data. In this case the response data are abundance of insects of 4 trophic groups. I am unsure whether I need to cbind the categories and run with the model with family=multinomial4 or family=gaussian. Also I'm unsure whether I should use lme4 package or MCMCglmm. If anyone can give me any pointers, I would be most grateful. I am new to R and mixed

Hello, If I have two variables that are factors or characters and I want to create a new variable that is the combination of both what function can I use to accomplish this? Ex. Var1 Var2 SA100055113 19851113 And I want NewVar SA10005511319851113 Thanks in advance. Cameron Guenther, Ph.D. Associate Research Scientist FWC/FWRI, Marine Fisheries Research 100 8th Avenue S.E. St.

I am trying to great a new column of effort data from an existing vector of gears used. It is a simple code where effort[Gear==300]=(DIST_TOW*7412) effort[Gear==301]=(DIST_TOW*7412) The code appears to work for some of the data but fails for others and inserts a NA value I also get this warning message Warning message: number of items to replace is not a multiple of replacement length Can