{"Package":"smint","Type":"Package","Title":"Smooth Multivariate Interpolation for Gridded and Scattered Data","Version":"0.4.2","Date":"2016-01-14","Author":"Yves Deville Yann Richet\n. Fortran codes by William Thacker, Manjula Iyer\nJingwei Zhang, Laynet Watson, Jeffrey Birch, Manjula Iyer, Michael Berry\nand Robert Renka. Fortran codes by Alain Hebert.","Maintainer":"Yann Richet ","Description":"Smooth multivariate interpolation for gridded and scattered data\nwith possibly large datasets. The code for scattered data is taken from the\n'SHEPPACK' Fortran package.","License":"GPL-3","Depends":"lattice","Imports":"Matrix, methods","NeedsCompilation":"yes","Packaged":"2016-01-14 15:16:48 UTC; yves","Repository":"CRAN","Date/Publication":"2016-01-14 19:38:05","readme":"# smint: Smooth Multivariate Interpolation for Gridded and Scattered Data\n\nInstallation\n------------\n\nYou can install the latest version of the code using the `devtools` R package.\n\n```\n# Install devtools, if you haven't already.\ninstall.packages(\"devtools\")\n\nlibrary(devtools)\ninstall_github(\"IRSN/smint\")\n```\n\nUsage \n-----------\nComplete user guide is here: [smintGuide.pdf](https://github.com/IRSN/smint/blob/ec795cf4457437972285bd435d546f62427cbeff/inst/doc/smintGuide.pdf)\n\nBasic example:\n```r\n set.seed(12345)\n n <- 6; nout <- 300L\n x <- sort(runif(n))\n xout <- sort(runif(nout, min = x[1], max = x[n]))\n y <- sin(2 * pi * x)\n cI0 <- interp_ceschino(x = x, xout = xout, y = y)\n \n ## compare with a natural spline\n require(splines)\n spI <- interpSpline(x, y)\n spPred0 <- predict(spI, xout)\n \n plot(xout, sin(2 * pi * xout), type = \"l\", col = \"black\", lwd = 2,\n xlab = \"x\", ylab = \"f(x)\", main = \"Interpolations\")\n abline(v = x, col = \"gray\")\n lines(cI0, type = \"l\", col = \"SpringGreen3\", lty = 2, lwd = 2)\n lines(spPred0, type = \"l\", col = \"SteelBlue2\", lty = 3, lwd = 2)\n points(x, y, type = \"p\", pch = 21, col = \"red\",\n bg = \"yellow\", lwd = 2)\n legend(\"topright\", legend = c(\"true\", \"Ceschino\", \"nat. spline\"),\n col = c(\"black\", \"SpringGreen3\", \"SteelBlue2\"),\n lty = 1:3, lwd = rep(2, 3))\n```\n![](Rplot.png)","repoType":"cran"}

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