Hebrew University of Jerusalem
Mt. Scopus, Jerusalem, ISRAEL
Explaining the Bootstrap
IBEE Computer Code
The following two files describe and contain the
S-plus code used to compute the IBEE
and Independence estimates for the Meron vegetation data in "Analyzing Spatially
Distributed Binary Data Using Independent-Block Estimating Equations" by Oman,
Landsman, Carmel and Kadmon.
The code may be used for binary responses from an equally-spaced rectangular grid,
and uses an exponential covariance function for the latent normal field (it may be
easily adapted to handle other types of covariance functions).
The S-plus statements are in a number of programs ( ibee.1 - ibee.6) which are to be
run sequentially. Before running them, the user must prepare data matrices and define
a number of parameters, as described in the comments of ibee.1. The programs use a
number of functions, whose code is also available.
ibee.readme.rtf Contains a brief description of the programs, the names of the functions,
and the calling sequence for the functions.
the code for ibee.1 - ibee.6 and the functions, as one long
The first line of each program or function is in boldface, and the last line
is followed by a blank line, in order to simplify copying and pasting into
the Splus window. The programs and functions have numerous
syllabus.pdf Syllabus for the course.
paper.guidelines.pdf Guidelines for writing the term paper analyzing data from the three sets below.
glim.formulas.pdf Some formulas we'll be using.
Description of data set on possible causes for
low fetal birth weight.
shock.data.desc.pdf Description of survival data from shock research unit.
cardiac.output.pdf Article describing changes in heart function with age.
rat.desc.pdf Description of data set on rat-sightings in Madrid.
Notes for the first lecture.
references.pdf Additional references for the course.
notes.2.pdf Notes for the second lecture.
exp.family.proof Mean and variance of exponential family distribution in terms of natural parameter.
input.txt.file.code.R R code to input dataset in .txt format.
medfly.pdf Description of data set on medfly trappings.
medfly.data.tab.txt Medfly data set; tab-delimited and contains variable names.
medfly.preliminary.pdf Preliminary analysis of medfly data.
medfly.explore.R R code for preliminary analysis of medfly data.
medfly.poisson.rslts.pdf Results of Poisson regression for medfly data.
notes.3.pdf Notes for the third lecture.