rmarkdown, tidyverse, ggplot2, testthat (>= 3.0.0)

LTPD plans for sampling inspection by variables
Calculation and evaluation of LTPD plans for sampling
inspection by variables

LTPD and AOQL plans for acceptance sampling inspection by
variables
Calculation of LTPD and AOQL plans for sampling inspection
by variables which minimize mean inspection cost per lot of
process average quality

LTPD and AOQL Plans for Acceptance Sampling Inspection by
Variables
Calculation of rectifying LTPD and AOQL plans for sampling inspection by variables which minimize mean inspection cost per lot of process average quality.

A set of functions to execute the linear-transformation of
replicate (LTR) algorithm for preprocessing of microarray data

Ensemble Methods for Survival Data with Time-Varying Covariates
c(person(given = "Weichi", family = "Yao", role = c("aut", "cre"),
email = "wy635@stern.nyu.edu"),
person(given = "Halina", family = "Frydman", role = "aut", email = "hf2@stern.nyu.edu"),
person(given = "Denis", family = "Larocque", role = "aut", email = "denis.larocque@hec.ca"),
person(given = "Jeffrey S.", family = "Simonoff", role = "aut", email = "jss2@stern.nyu.edu"))
Weichi Yao [aut, cre],
Halina Frydman [aut],
Denis Larocque [aut],
Jeffrey S. Simonoff [aut]
stats, utils, survival, ipred, parallel, prodlim, partykit
Implements the conditional inference forest and random survival forest
algorithm to modeling left-truncated right-censored data with time-invariant
covariates, and (left-truncated) right-censored survival data with time-varying
covariates. It also provides functions to tune the parameters and evaluate the
model fit. See Yao et al. (2020) <arXiv:2006.00567>.

Implements the conditional inference forest and relative risk forest
algorithm to modeling left-truncated right-censored data with time-invariant
covariates, and (left-truncated) right-censored survival data with time-varying
covariates. It also provides functions to tune the parameters and evaluate the
model fit. See Yao et al. (2020) <arXiv:2006.00567>.