Description: These 'Rcpp'-based functions compute the efficient score statistics for grouped time-to-event data (Prentice and Gloeckler, 1978), with the optional inclusion of baseline covariates. Functions for estimating the parameter of interest and nuisance parameters, including baseline hazards, using maximum likelihood are also provided. A parallel set of functions allow for the incorporation of family structure of related individuals (e.g., trios). Note that the current implementation of the frailty model (Ripatti and Palmgren, 2000) is sensitive to departures from model assumptions, and should be considered experimental. For these data, the exact proportional-hazards-model-based likelihood is computed by evaluating multiple variable integration. The integration is accomplished using the 'Cuba' library (Hahn, 2005), and the source files are included in this package. The maximization process is carried out using Brent's algorithm, with the C++ code file from John Burkardt and John Denker (Brent, 2002).

Imports: Rcpp (>= 0.12.4), doParallel, parallel, foreach, qvalue

Title: Efficient Estimation of Grouped Survival Models

Description: Collection of functions to run statistical tests across all levels
knitr (>= 1.20), rmarkdown (>= 1.9), spelling

Suggests: gapminder, ggplot2 (>= 2.2.1), covr (>= 3.0.1), ggstatsplot

Suggests: gapminder, ggplot2 (>= 2.2.1), covr (>= 3.0.1), knitr (>=

Suggests: gapminder, covr (>= 3.0.1), ggplot2, knitr (>= 1.20),

Suggests: gapminder, covr, ggplot2, knitr, rmarkdown, spelling,

Description: Collection of functions to run statistical tests
across all levels of multiple grouping variables.
Imports: broom (>= 0.5.1), broom.mixed (>= 0.2.4), broomExtra, crayon
Suggests: covr, ez, gapminder, ggplot2, knitr, rmarkdown, spelling,

across all combinations of multiple grouping variables.
Suggests: covr, ez, forcats, gapminder, ggplot2, knitr, rmarkdown,

Suggests: ez, gapminder, ggplot2, knitr, rmarkdown, spelling, testthat

Imports: broomExtra, dplyr, glue, haven, ipmisc, lme4, parameters,
purrr, rlang, rstudioapi, sjstats, skimr, stats, tibble, tidyr