Creates empty plots with compact axis notation
Creates empty plots with compact axis notation to which users can
add whatever they like (points, lines, text, etc.) The notation is more
compact in the sense that the axis-labels and tick-labels are closer to the
axis and the tick-marks are shorter. Also, if the plot appears as part of a
matrix, the x-axis notation is suppressed unless the plot appears along the
bottom row and the y-axis notation is suppress unless the plot appears
along the left column.
'eplot.R' 'addxaxis.R' 'compactr-package.R' 'mm.R' 'aplot.R'

Comparison Functions for Clustering and Record Linkage
c(
person(given = "Neil",
family = "Marchant",
email = "ngmarchant@gmail.com",
role = c("aut", "cre")))
Implements functions for comparing strings, sequences and
numeric vectors for clustering and record linkage applications.
Supported comparison functions include: generalized edit distances
for comparing sequences/strings, Monge-Elkan similarity for fuzzy
comparison of token sets, and L-p distances for comparing numeric
vectors. Where possible, comparison functions are implemented in
C/C++ to ensure good performance.
'Comparator.R' 'CppSeqComparator.R' 'PairwiseMatrix.R'
'SequenceComparator.R' 'StringComparator.R' 'BinaryComp.R'
'NumericComparator.R' 'Chebyshev.R' 'Constant.R'
'Levenshtein.R' 'DamerauLevenshtein.R' 'Minkowski.R'
'Euclidean.R' 'FuzzyTokenSet.R' 'Hamming.R' 'InVocabulary.R'
'Jaro.R' 'JaroWinkler.R' 'LCS.R' 'Lookup.R' 'Manhattan.R'
'TokenComparator.R' 'MongeElkan.R' 'OSA.R' 'RcppExports.R'
'generalized_mean.R' 'strcompr-package.R' 'util.R'

Functions for comparing vectors and data frames.

Functions to compare a model object to a comparison object.
If the objects are not identical, the functions can be instructed to
explore various modifications of the objects (e.g., sorting rows,
dropping names) to see if the modified versions are identical.

Compare Two Correlated C Indices with Right-censored Survival
Outcome
Proposed by Harrell, the C index or concordance C, is considered an overall measure of discrimination in survival analysis between a survival outcome that is possibly right censored and a predictive-score variable, which can represent a measured biomarker or a composite-score output from an algorithm that combines multiple biomarkers. This package aims to statistically compare two C indices with right-censored survival outcome, which commonly arise from a paired design and thus resulting two correlated C indices.