Estimate the Confidence Interval and Interpret Step by Step
Estimate confidence intervals for mean, proportion, mean difference
for unpaired and paired samples and proportion difference. Plot the confidence
intervals. Generate documents explaining the statistical result step by step.
dplyr, purrr, tidyr, rlang, ggplot2, scales, ggbeeswarm,
patchwork, aplot, rstudioapi, rmarkdown, flextable, officer,
english, RColorBrewer, moonBook

Binary Classifier Interpretation functions: Partial Dependence
Plots
Create partial dependence plots for binary (cross-validated)
classification models. Currently only binary classification models
estimated with the packages randomForest and ada are supported.

Compute permutation- based performance measures and create
partial dependence plots for binary (cross-validated) classification models.
Currently only binary classification models estimated with the packages
randomForest and ada are supported.

Compute permutation- based performance measures and create
partial dependence plots for (cross-validated) randomForest and ada models.

Binary Classifier and Regression Model Interpretation Functions
Compute permutation- based performance measures and create partial
dependence plots for (cross-validated) 'randomForest' and 'ada' models.

Flexible Tools for Estimating Interactions
c(
person("Matthew", "Blackwell", email = "mblackwell@gov.harvard.edu", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-3689-9527")),
person("Olson", "Michael", email = " michael.p.olson@wustl.edu", role = c("aut")))
A set of functions to estimate interactions flexibly in the face of possibly many controls. Implements the procedures described in Blackwell and Olson (2022) <doi:10.1093/restud/rdt044>.
Matthew Blackwell [aut, cre] (<https://orcid.org/0000-0002-3689-9527>),
Olson Michael [aut]

Weighted Logrank Tests and NPMLE for interval censored data
Functions to fit nonparametric survival curves, plot them,
and perform logrank or Wilcoxon type tests.

R (>= 2.2.1), stats, survival, perm, Icens, MLEcens