Splus Notes | Notes | Preliminary version of what became Venables' & Ripley's Modern Applied Statistics with S-plus |
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Splus Code | sim1.s | Various functions for generating random numbers |
mc.s | Various functions for generating finite state Markov chains | |
example0.s | An example where "specifying" full conditionals doesn't lead to a unique stationary distribution | |
example1.s | An example of a non-parametric regression using a random walk prior | |
example2.s | An example of a non-parametric regression using a locally quadratic prior | |
nbhood.s | Finding the weights for locally quadratic Gaussian autoregressions on the 2D lattice | |
fieldtrial.s | Analysis of a corn variety trial conducted by the state of North Carolina. A locally planar Gaussian MRF is used to account for 2D spatial fertility. The yields are in yield.dat and the variety labels are in variety.dat. | |
example3.s | An example of a non-parametric regression using a Gaussian process prior | |
poissonreg.s | An example of simple Poisson regression using the identity and log links. | |
texture.s | A program to simulate a 12 nearest neighbor Gaussian MRF using Gibbs sampling. This file makes textures of ocean, wood, wool, etc. The function genfield() calls a C routine in the file genfield.c. This file in turn requires the C routines in the file randomS.c and getnbhd.c. <\TD> | |
bintexture.s | An example of using psuedo-likelihood to estimate coefficients of an auto-logistic function from a binary texture image in the file bintex.dat. | |
gensurf.s | Splus code for doing all of the continuous Gaussian random field stuff in the notes on continuous fields: spatial.ps. | |
varioest.s | Code for looking at variograms. |