Reverse Engineers Regular Expression Patterns for R Objects
person("Jasper", "Watson", email = "jasper.g.watson@gmail.com",
role = c("aut", "cre"))
Reverse engineer a regular expression pattern for the characters
contained in an R object. Individual characters can be categorised into
digits, letters, punctuation or spaces and encoded into run-lengths. This
can be used to summarise the structure of a dataset or identify non-standard
entries. Many non-character inputs such as numeric vectors and data frames
are supported.

person(given = "Alex",
family = "Hayes",
role = c("aut", "cre", "cph"),
email = "alexpghayes@gmail.com",
comment = c(ORCID = "0000-0002-4985-5160"))
Provides composable invertible transforms for
(sparse) matrices.
's4-generics.R' 'DoubleCenter.R' 'NormalizedLaplacian.R'
'PerturbedLaplacian.R' 'RegularizedLaplacian.R'
'invertiforms-package.R' 'utils.R'

covr, testthat (>= 3.0.0), igraph, igraphdata

This package provides functions to facilitate inverse
estimation/calibration with linear and  nonlinear regression models. A
generic function is also provided for plotting fitted regression models
with or without confidence/prediction bands that may be of use to the
general user.

Calibration/Inverse Estimation with Linear and Nonlinear
Regression Models in R.
This package provides some functions, data sets, and examples for
performing statistical calibration, more generally known as inverse
estimation, with linear and nonlinear regression models. Furthermore,
a generic function is provided for plotting fitted regression models
with or without confidence/prediction bands that may be of use to the
general user.

This package provides functions to facilitate inverse
estimation/calibration in linear, nonlinear, and (linear) mixed models.
A generic function is also provided for plotting fitted regression
models with or without confidence/prediction bands that may be of use to
the general user.

Functions to facilitate inverse estimation/calibration in linear,
nonlinear, and (linear) mixed models. A generic function is also provided
for plotting fitted regression models with or without confidence/prediction
bands that may be of use to the general user.