matrixStats, DescTools, glmnet, SNPknock, parallel
foreach, iterators, precrec, doParallel, bigmemory, biglasso,
testthat, knitr, rmarkdown, kableExtra

Functions for analysing epidemiological data
Mark Stevenson <M.Stevenson@massey.ac.nz> with contributions
from Telmo Nunes, Javier Sanchez, and Ron Thornton.
A package for analysing epidemiological data. Contains functions
for directly and indirectly adjusting measures of disease frequency,
quantifying measures of association on the basis of single or multiple
strata of count data presented in a contingency table, and computing
confidence intervals around incidence risk and incidence rate estimates.
Miscellaneous functions for use in meta-analysis, diagnostic test
interpretation, and sample size calculations.

A package for analysing epidemiological data. Contains
functions for directly and indirectly adjusting measures of
disease frequency, quantifying measures of association on the
basis of single or multiple strata of count data presented in a
contingency table, and computing confidence intervals around
incidence risk and incidence rate estimates. Miscellaneous
functions for use in meta-analysis, diagnostic test
interpretation, and sample size calculations.

A package for analysing epidemiological data. Contains
functions for directly and indirectly adjusting measures of
disease frequency, quantifying measures of association on the
basis of single or multiple strata of count data presented in a
contingency table, and computing confidence intervals around
incidence risk and incidence rate estimates.  Miscellaneous
functions for use in meta-analysis, diagnostic test
interpretation, and sample size calculations.

An R package for the analysis of epidemiological data
Mark Stevenson <M.Stevenson@massey.ac.nz> with contributions
from Telmo Nunes, Javier Sanchez, Ron Thornton, Jeno Reiczigel,
Jim Robison-Cox and Paola Sebastiani
An R package for the analysis of epidemiological data.
Contains functions for directly and indirectly adjusting
measures of disease frequency, quantifying measures of
association on the basis of single or multiple strata of count
data presented in a contingency table, and computing confidence
intervals around incidence risk and incidence rate estimates.
Miscellaneous functions for use in meta-analysis, diagnostic
test interpretation, and sample size calculations.