Title: Invertible Transforms for Matrices
Description: Provides composable invertible transforms for
Imports: sparseLRMatrix (>= 0.1.0), glue
Suggests: covr, testthat, igraph, igraphdata
Author: Alex Hayes [aut, cre, cph] (<https://orcid.org/0000-0002-4985-5160>)

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

Maintainer: Brandon M. Greenwell <greenwell.brandon@gmail.com>
Description: 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
Suggests: boot, car, lme4, nlme, RColorBrewer

Title: Calibration/Inverse Estimation with Linear and Nonlinear
Description: 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

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

Description: 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.

generalized 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.

Description: Functions to facilitate inverse estimation (e.g., calibration) in
linear, generalized linear, nonlinear, and (linear) mixed-effects 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
Suggests: boot, datasets, knitr, MASS, testthat,