Imports: ciTools, classInt, data.table, DHARMa, dplyr, evtree, ggplot2,
insight, lubridate, magrittr, mgcv, patchwork, stringr, tidyr

Imports: ciTools, classInt, colorspace, data.table, DHARMa, dplyr,
evtree, ggplot2, insight, lubridate, magrittr, mgcv, patchwork,

Suggests: spelling, knitr, rmarkdown, testthat, fitdistrplus, truncdist

evtree, fitdistrplus, ggplot2, insight, lubridate, magrittr,

Author: Romain Francois, sponsored by the Google Open Source Programs Office

Author: Romain Francois, sponsored by the Google Open Source Programs

Description: Estimating interval regression models.  Both common and
observation-specific boundaries may be specified.

Depends: R (>= 2.7.0), miscTools, maxLik (>= 1.0-3)
Description: Estimating interval regression models.  Supports both common and observation-specific boundaries.

Title: Integrated Regression Goodness of Fit
Author: Jorge Luis Ojeda Cabrera, <jojeda@unizar.es>
Description: Performs Goodness of Fit for regression models using
Maintainer: Jorge Luis Ojeda Cabrera <jojeda@unizar.es>

Author: Jorge Luis Ojeda Cabrera <jojeda@unizar.es>
Description: Performs Goodness of Fit for regression models
using Integrated Regression method. Works for several

Title: Likelihood-Based Intrinsic Dimension Estimators
Description: Provides functions to estimate the intrinsic dimension of a
dataset via likelihood-based approaches.  Specifically, the package
implements the 'TWO-NN' and 'Gride' estimators and the 'Hidalgo'
Santos-Fernandez et al. (2021, <arXiv:1902.10459>).
Imports: dplyr, FNN, ggplot2, knitr, MCMCpack, pheatmap, Rcpp,
Packaged: 2022-01-13 04:50:14 UTC; francescodenti

Description: Provides functions to estimate the intrinsic dimension of a dataset
via likelihood-based approaches. Specifically, the package implements the
'TWO-NN' and 'Gride' estimators and the 'Hidalgo' Bayesian mixture model.
In addition, the first reference contains an extended vignette on the usage of
the 'TWO-NN' and 'Hidalgo' models. References:
Imports: dplyr, FNN, ggplot2, knitr, latex2exp, MCMCpack, Rcpp,
Packaged: 2022-05-31 09:15:54 UTC; francescodenti