Description: An implementation of list comprehensions as purely syntactic
sugar with a minor runtime overhead. It constructs nested for-loops and
executes the byte-compiled loops to collect the results.
Packaged: 2020-05-05 19:58:45 UTC; dirkschumacher

Packaged: 2020-05-24 07:20:18 UTC; dirkschumacher

Description: Syntactic shortcuts for creating synthetic lists, vectors, and

Suggests: testthat, rmarkdown, knitr, dplyr (>= 1.0.0)

Description: Syntactic shortcuts for creating synthetic lists, vectors,
data frames, and matrices using list comprehension.
Collate: 'listcompr.r' 'gen-list.r' 'eval.r' 'expand.r'

Description: Programmatically create R Markdown documents from lists.
Suggests: DT, ggplot2, testthat, purrr, rmarkdown, knitr

Imports: checkmate, rmarkdown, tibble, yaml, fs
Suggests: DT, ggplot2, testthat, purrr, knitr

Title: List-Based Rules for Dynamic Treatment Regimes
Description: Construction of list-based rules, i.e. a list of if-then clauses, to estimate the optimal dynamic treatment regime.

Description: Construction of list-based rules, i.e. a list of if-then clauses, to estimate the optimal dynamic treatment regime. Details can be found at Zhang et al (2018) <doi:10.1080/01621459.2017.1345743>.

Title: Environments Behaving (Almost) as Lists
Description: List Environments are environments that can be indexed similarly to lists, e.g. 'x <- listenv(); x[[2]] <- "b"; names(x)[2] <- "B"; print(x$B)'.

Description: List environments are environments that can be indexed similarly to lists, e.g. 'x <- listenv(); x[[2]] <- "b"; names(x)[2] <- "B"; print(x$B)'.

Description: List environments are environments that have list-like properties.  For instance, the elements of a list environment are ordered and can be accessed and iterated over using index subsetting, e.g. 'x <- listenv(a=1, b=2); for (i in seq_along(x)) x[[i]] <- x[[i]]^2; y <- as.list(x)'.

Description: List environments are environments that have list-like properties.  For instance, the elements of a list environment are ordered and can be accessed and iterated over using index subsetting, e.g. 'x <- listenv(a = 1, b = 2); for (i in seq_along(x)) x[[i]] <- x[[i]] ^ 2; y <- as.list(x)'.