ESPRESSO                Package for power analysis and sample size
                        calculation
empirical.power.calc    Calculates empirical power
env.params              Parameters to simulate environmental exposures
                        data
gen.params              Parameters to simulate genetic data
general.params          Main parameters of the simulations
get.critical.results    Summarizes the main results
get.observed.data       Generates exposure data with with some error
init.data               Simulated genotypes, phenotypes and
                        enviromental exposure data
is.posdef               Tells if a matrix is positive definite
make.cov.mat            Generates the covariance matrix required to
                        achieved the desired LD
make.obs.env            Adds some error to environmental exposure data
make.obs.geno           Adds some error to genotype data
make.posdef             Turns a matrix into a positive definite one
misclassify             Adds some misclassification error to binary
                        data
model.power.calc        Calculates theoretical power
obs.data                Simulated genotypes, phenotypes and
                        enviromental exposure data
regr.analysis           carries out regression analysis
samplsize.calc          Calculates the sample size required to achieved
                        the desired power
sim.CC.data             Simulates cases and controls
sim.LDgeno.data         Simulates genotypes for two genetic variants in
                        LD
sim.LDsnps              Simulates alleles for two biallelic SNPs in
                        Linkage Disequilibrium
sim.QTL.data            Simulates subjects for a continuous outcome
sim.env.data            Simulates data for an environmental exposure
sim.env.sesp            Simulates sensitivity and specificity for
                        environmental exposure assessment
sim.geno.data           Simulates genotypes for a genetic variant
sim.geno.sesp           Simulates sensitivity and specificity for
                        genotype assessment
sim.interact.data       Generates data for the interaction term
sim.pheno.bin           Simulates binary outcome data
sim.pheno.qtl           Simulates continuous outcome data
sim.sesp.params         Table of paramaters to simulate sensitivity and
                        specificity values
sim.subject.data        Simulates the individual effect related to
                        heterogeneity in disease risk
skew.rnorm              Allows to generate right or left-skewed normal
                        distribution
