MLDA is a method to identify the differential methylated loci on CpG island array using Differential Methylation Hybridisation(DMH).

MLDA is a method to identify the differentially methylated
loci on CpG island array using Differential Methylation
Hybridisation(DMH).

Interactive Document for Working with Discriminant Analysis
An interactive document on  the topic of linear discriminant analysis using 'rmarkdown' and 'shiny' packages. Runtime examples are provided in the package function as well as at  <https://analyticmodels.shinyapps.io/DiscriminantAnalysisModelling/>.

Kenneth Knoblauch and Laurence T. Maloney,
based in part on C code written by Laurence T. Maloney
and J. N. Yang
R (>= 2.4.0), graphics, stats, utils, base
Difference scaling is a method for scaling perceived
supra-threshold differences.  The package contains functions that
allow the user to design and run a difference scaling experiment,
to fit the resulting data by maximum likelihood and test the
internal validity of the estimated scale.

R (>= 2.5.0), graphics, stats, utils, base

Kenneth Knoblauch and Laurence T. Maloney, based in part on C code written by Laurence T. Maloney and J. N. Yang
More about what it does (maybe more than one line)

Kenneth Knoblauch and Laurence T. Maloney,
based in part on C code written by Laurence T. Maloney and J. N. Yang
Difference scaling is a method for scaling perceived
super-threshold differences.  The package contains functions that
allow the user to design and run a difference scaling experiment,
to fit the resulting data by maximum likelihood and test the
internal validity of the estimated scale.

R (>= 2.6), graphics, stats, utils, base

Kenneth Knoblauch and Laurence T. Maloney, based in part on C
code written by Laurence T. Maloney and J. N. Yang
Difference scaling is a method for scaling perceived
supra-threshold differences.  The package contains functions
that allow the user to design and run a difference scaling
experiment, to fit the resulting data by maximum likelihood and
test the internal validity of the estimated scale.