This package conducts factor rotation techniques which
intentd to identify a simple and well-clustered structure in a
factor loading matrix.

3D Rendering Using Obliquely Projected Cubes and Cuboids
c(person("Trevor L", "Davis", role = c("aut", "cre"),
email = "trevor.l.davis@gmail.com",
comment = c(ORCID = "0000-0001-6341-4639")),
person("Mike", "FC", role = "aut", comment = "Some code adapted from isocubes"))
Three-dimensional rendering for 'grid' and 'ggplot2' graphics using cubes and cuboids drawn with an oblique projection.  As a special case also supports primary view orthographic projections.  Can be viewed as an extension to the 'isocubes' package <https://github.com/coolbutuseless/isocubes>.
datasets, dplyr, ggplot2, knitr, rmarkdown, testthat (>=
3.0.0), vdiffr
Trevor L Davis [aut, cre] (<https://orcid.org/0000-0001-6341-4639>),
Mike FC [aut] (Some code adapted from isocubes)

Grows Oblique Trees to Classification Data.

modified random Forest using non linear regression in the node
Classification (no regression up to now) based on a random
forest of trees using nonlinear regression in the nodes.
Bjoern Menze <menze@csail.mit.edu> and D.N. Splitthoff
<nico.splitthoff@gmx.de>

Oblique Random Forests from Recursive Linear Model Splits
Random forest with oblique decision trees for binary
classification tasks. Discriminative node models in the tree
are based on: ridge regression, partial least squares
regression, logistic regression, linear support vector
machines, or random coefficients.

Oblique Random Forests for Right-Censored Time-to-Event Data
person("Byron", "Jaeger", email = "bcjaeger@uab.edu", role = c("aut", "cre"))
Oblique random survival forests incorporate linear combinations of input variables into random survival forests (Ishwaran, 2008 <DOI:10.1214/08-AOAS169>). Regularized Cox proportional hazard models (Simon, 2016 <DOI:10.18637/jss.v039.i05>) are used to identify optimal linear combinations of input variables.
Rcpp, pec, data.table, stats, missForest, purrr, glmnet,
survival, dplyr, rlang, prodlim, ggthemes, tidyr, ggplot2,
scales