similar to: Changing code within a package

Friends, I changed one line of a package at the source level and then rebuilt it. When I run R CMD check, I get an error: installing R.css in C:/polsplineRS.Rcheck ---------- Making package polsplineRS ------------ adding build stamp to DESCRIPTION making DLL ... making hareall.d from hareall.c making heftall.d from heftall.c making lsdall.d from lsdall.c making lspecall.d from lspecall.c

Hi All, I can't quite figure out how to change the parameters of the x and y axes when I plot a polymars object. I want to add a scatterplot of the data points, but the polymars plot seems to automatically set the parameters to fit the polymars line. I've tried using plot(poly,1,fig= c(x1,x2,y1,y2)) but have no luck. Any thoughts? Thanks, Ryan

Hi.., is there a function in R to fit bivariate splines ? I came across 'polymars' (POLSPLINE) and 'mars' (mda) packages. Are these the one to use or are there other specific commands? Thanks. Harsh

Dear all, I have a question on how to set up the starting model in POLYCLASS and make sure the terms in the starting model retained in the final POLYCLASS model. In the function POLYMARS, this can be done using the STARTMODEL option. See below for example, I started with model y= b0 + b1*X1 + b2*X2 + b3*X4 + b4*X5 + b5*X2*X5 + e > m00 <- matrix(c( 1, NA, 0, NA, 1, 2,

Hi all, I am trying to install a custom package from its source using windows. Using this guide http://www.maths.bris.ac.uk/~maman/computerstuff/Rhelp/Rpackages.html I've gotten to the fifth step, but I get the following error in the command window: "'sh' is not recognized as an internal or external command, operable program or batch file." I saw in the help archives that

Hi, I am working on a modeling project for PMI-Australia and interested in using R, especially POLYMARS or PLYCLASS. I use SAS /PC on WINDOWS for the statistical analyses including Modeling. I got R downloaded to the system but can't figure out how to interface with SAS so that I could use SAS datasets already in place. Also I could not find POLYMARS on the library packages. I need to know

Hello, Apologies if this question has already arised, hope you can help me to the find the solution to this or point the place to look at. I have a multidimensional piece-wise regression linear problem, i.e. to find not only the regression coefficients for each "interval" but also the beginning and ends of the intervals. To simplify it to the one dimensional case and two intervals,

Hello all, I'm trying to find out how to perform a 'segmented regression'. I have some data and the 'classical' model used is: y(t) = a + bx(t) + cx(t)^2 + u(t) for x(t) < x(0) y(t) = a + bx(0) + cx(0)^2 + d(x(t) - x(0)) + u(t) for x(t) > x(0) and u(t) = rho.u(t-1) + eps (It's a model using an ARIMA-model, in this case AR(1)-process) The parameters to estimate here

Does the polymars library exist anymore? I see reference to it at http://rweb.stat.umn.edu/R/doc/html/packages.html, but not on CRAN (looked in contrib and contrib/Old). -- Rob Schick Ecologist NOAA Fisheries Santa Cruz Lab 110 Shaffer Road Santa Cruz, CA 95060 Phone: 831.420.3960 -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

I've seen references to "polymars", an R implementation of Friedman's MARS algorithm. Can anyone tell me where I might be able to find this (doesn't seem to be in the contributed packages. Thanks, David -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send

Dear R friends- I'm attempting to generate a regression tree with one gradient predictor and multiple responses, trying to test if change in size (turtle.data$Clength) acts as a single predictor of ten multiple diet taxa abundances (prey.data) Neither rpart or mvpart seem to allow me to do multiple responses. (Or if they can, I'm not using the functions properly.) > library(rpart)

Hi there, Does R has built-in codes for nonpara. bivariate regression so that I can estimate the joint distribution of two variables as a function of some covariates? Thanks a lot. --------------------------------------------------- Ximing Wu Department of Economics University of Guelph Guelph, Ontario, Canada, N1G 2W1 Tel: (519) 842-4120, ext 53014 Fax: (519) 763-8497 email: xiwu at

Friends I'm trying fit a survival model by maximum likelihood estimation using this function: flver=function(a1,a2,b1,b2) { lver=-(sum(st*log(exp(a1*x1+a2*x2)))+sum(st*log(hheft(exp(b1*x1+b2*x2)*t,f.heft))) -(exp(a1*x1+a2*x2)/exp(b1*x1-b2*x2))*sum(-log(1-pheft(exp(b1*x1+b2*x2)*t,f.heft)))) } emv=mle(flver,start=list(a1=0,a2=0,b1=0,b2=0)) where hheft and pheft are functions defined in

Hi All: Package TSERIES is stated to depend on MVA. However, there is no MVA package to be found under the list of package sources. Best wishes, ANDREW tseries: Package for time series analysis Package for time series analysis with emphasis on non-linear and non-stationary modelling Version: 0.7-6 Depends: ts, mva, quadprog Date: 2001-08-27 Author: Compiled by Adrian

Can you help me interpret the output I get with "polymars"? I'd like to find a regression model to predict 2 dependent variables (then called Y1 and Y2) with 2 independent variables (then called X1 and X2). Here is the output: polymars(responses = data[, 13:14], predictors = data[, 2:3]) Model fitting 0/1 size RSS 1 RSS 2 GCV 1 1 1 0.2486744

The rms package, a replacement for the Design package, has been updated on CRAN. The most major change is the addition of smooth calibration curves for externally (val.surv function) or internally (calibrate.cph, calibrate.psm) validating a survival model with right-censored data. The polspline package is used to estimate the survival probability at a fixed time point as a function of the

The rms package, a replacement for the Design package, has been updated on CRAN. The most major change is the addition of smooth calibration curves for externally (val.surv function) or internally (calibrate.cph, calibrate.psm) validating a survival model with right-censored data. The polspline package is used to estimate the survival probability at a fixed time point as a function of the

Hi everyone: Polyclass is a polytomous logistic regression model using linear splines and their tensor products. It provides estimates for conditional class probabilities which can then be used to predict class labels. I know there is Polyclass package in S-plus. So I'm wondering if there is a corresponding package in R? I have been searching for it for quite a while, but still

Hi all, is there any package in R capable of smooth approximation of CDF basing on given sample? (Thus, I am not speaking about ecdf) In particular, I expect very much that the approximation should subject to the property: f(x0)<=f(x1) for x0<x1, where x0 and x1 belong to range of the sample given. Polynomial approximation could be OK for me as well. P.S.

Hi, The following works fine: > f [1] 0.08 0.03 0.04 > A2 [,1] [,2] [,3] [1,] 0.000000e+00 0.0000000000 0.000000e+00 [2,] 0.000000e+00 0.0000000000 0.000000e+00 [3,] 2.999651e-03 0.0009094342 1.945708e-03 [4,] 4.124431e-05 0.0001360390 1.203345e-05 [5,] 3.027932e-04 0.0000412920 4.668090e-04 [6,] 0.000000e+00 0.0000000000 0.000000e+00 > b2 [1] 0 0 0 0 0 0