similar to: How to use cubic spline coefficients from termstrc package?

Hi, I'm trying to build the termstrc 1.1 package from its source on R 2.7.2 on Windows XP. However instead of building the package it just zips the entire source into a .tar.gz file. This is the first time I'm trying to build an R package from source. I installed the R toolset for Windows and set RTools as well as Perl & MinGW directories in the path. Anybody tried this out? Any file

Hi, I'm trying to use the package termstrc. However I cannot figure out how to invoke helper functions like create_cashflows_matrix & create_maturities_matrix. Even when I try to invoke those with the data supplied with the package (say, corpbonds), it throws error saying "Error in as.vector(x, mode) : invalid 'mode' argument". Can anybody provide some working example

Hi, I'm trying to invoke the function bond_prices from termstrc package. Here is the code snippet: library(termstrc) data(eurobonds) b <- matrix(rep(c(0,0,0, 1),1),nrow=1,byrow=TRUE) group<-c("GERMANY") colnames(b) <- c("beta0","beta1","beta2","tau1") germaturities<-create_maturities_matrix(eurobonds$GERMANY)

Hi, Does tapply change the order when applied on a factor? Below is the code I tried. > mylevels<-c("IN0020020155","IN0019800021","IN0020020064") >

Hi: I am using termstrc package and not sure if TODAY field (govbonds dataset) is today's date or the settlement date for the bonds. Although the name suggests that it should be today's date, but how the formula is setup indicates that it should be settlement date. Please help and thanks in advance. [[alternative HTML version deleted]]

Hello,        Dr. Simon Wood told me how to force a cubic spline passing through a point. The code is as following. Anyone  who knows how I can change the code to force the first derivative to be certain value. For example, the first derivative of the constrained cubic spline equals 2 at point (0, 0.6).        I really appreciate your help!        Thanks!                 Best             Victor   

Hi, I am trying to fit cubic spline to a data on mortality rate by age and year (1900-2008). The data is noisy and hence I would like to smooth using spline and also extrapolate beyond 2008. Data from 1900 to 1948 are very unreliable while data from 1948 to 2008 are reliable. I would like to have a higher weight for data between 1948 to 2008. I am not sure how to do this. When I smooth data from

Hi, I would like to install an R library from https://cran.r-project.org/src/contrib/Archive/termstrc/ I executed below code without success. Any help would be appreciated. > install.packages('/Users/termstrc_1.3.tar.gz', repos = NULL, type="source") * installing *source* package ?termstrc? ... ** using staged installation ** libs using C++ compiler: ?Apple clang

Hi, I am running the RODBC examples form the help guide. I am trying to UPDATE a table in an Access data base but I am having an error. library(RODBC) library(termstrc) path = getwd() setwd(getwd()) dbName = "data.mdb" pathdbname = paste(path,"/",dbName,sep="") accesChannel = odbcConnectAccess(pathdbname, uid = "", pwd = "")

Hi Enrico, yes it works. I can also plot the graph. Next question, how do I delete the date from 16 December until 31 December 2014? Thank you very much. > dt$time <- as.POSIXct(dt$time)> > dt_ts <- xts(dt$count, dt$time)> str(dt_ts)An xts object on 2014-01-01 / 2014-12-31 23:59:00 containing: Data: integer [525600, 1] Index: POSIXct,POSIXt [525600] (TZ: "")

Hello everyone,          Dr. wood told me that I can adapting his example to force cubic spline to pass through certain point.          I still have no idea how to achieve this. Suppose we want to force the cubic spline to pass (1,1), how can I achieve this by adapting the following code? # Penalized example: monotonic penalized regression spline ..... # Generate data from a monotonic truth.

Hi all, We are pleased to announce that Lustre 2.0 Alpha7 is available for download. This is our next step in a series of milestone based pre-releases as we move towards Lustre 2.0 GA. This alpha includes 125 fixes since the Alpha 6 milestone. Alpha Milestone Criteria: * Tested for RHEL5/OEL5 x86_64 * Basic functional and recovery testing is passing consistently * FC11 clients

Hi all, We are pleased to announce that Lustre 2.0 Alpha7 is available for download. This is our next step in a series of milestone based pre-releases as we move towards Lustre 2.0 GA. This alpha includes 125 fixes since the Alpha 6 milestone. Alpha Milestone Criteria: * Tested for RHEL5/OEL5 x86_64 * Basic functional and recovery testing is passing consistently * FC11 clients

Hello, I am using R and the smooth.Pspline function in the pspline package to smooth some data by using natural cubic splines. After fitting a sufficiently smooth spline using the following call: (ps=smooth.Pspline(x,y,norder=2,spar=0.8,method=1) [the values of x are age in years from 1 to 100] I tried to check that R in fact had fitted a natural cubic spline by checking that the resulting

re: Cubic splines in package "mgcv" I don't have access to Gu (2002) but clearly the function R(x,z) defined on p126 of Simon Wood's book is piecewise quartic, not piecewise cubic. Like Kunio Takezawa (below) I was puzzled by the word "cubic" on p126. As Simon Wood writes, this basis is not actually used by mgcv when specifying bs="cr". Maybe the point is

We are proud to a announce another alpha release of Samba 4. What's new in Samba 4 alpha7 ============================ Samba 4 is the ambitious next version of the Samba suite that is being developed in parallel to the stable 3.0 series. The main emphasis in this branch is support for the Active Directory logon protocols used by Windows 2000 and above. Samba4 alpha7 follows on from the

I have a question about the basis functions of cubic regression spline in mgcv. Are there some ways I can get the exact forms of the basis functions and the penalty matrix that are used in mgcv? Thanks in advance! Yan [[alternative HTML version deleted]]

Hi Users, I want to fit the maximums of a data series with a cubic spline. How do I go about this in R. I failed to figure out how I can use the mgcv library to do this. Thanks ---------------------------- ZABLONE

I'm trying to use R to determine the quality of a cubic Bezier curve approximation of an elliptical arc. I know the four control points and I want to compute (x,y) coordinates of many points on the curve. I can't find anything in either the base distribution or CRAN that does this; all the spline-related packages seem to be about *fitting* piecewise Bezier curves to a data set.

Hi, all I am trying to get the basis matrix and penalty matrix for natural cubic splines. In the "splines" package of R,"ns" can generate the B-spline basis matrix for a natural cubic spline. How can I get the basis matrix and penalty matrix for natural cubic spline. Thanks a lot! Lee [[alternative HTML version deleted]]