Authors@R: person("Nathan", "Russell", email = "russell.nr2012@gmail.com",
Description: Provides a hash table class for fast
key-value storage of atomic vector types.
Internally, hashmap makes extensive use of Rcpp, boost::variant,
and boost::unordered_map to achieve high performance, type-safety,
and versatility, while maintaining compliance with the C++98 standard.
Collate: 'hashmap.R' 'classes.R' 'Hashmap-class.R' 'zzz.R'

Internally, 'hashmap' makes extensive use of 'Rcpp', 'boost::variant',
and 'boost::unordered_map' to achieve high performance, type-safety,
Collate: 'hashmap.R' 'classes.R' 'Hashmap-class.R' 'RcppExports.R'

person("Mark", "van der Loo", role=c("aut","cre"),email="mark.vanderloo@gmail.com")
Description: Apply the SuperFastHash algorithm to any R object. Hash whole R objects or,
for vectors or lists, hash R objects to obtain a set of hash values that is stored

Authors@R: c( person("Mark", "van der Loo",
Description: Apply an adaptation of the SuperFastHash algorithm to any R
object. Hash whole R objects or, for vectors or lists, hash R objects to obtain
a set of hash values that is stored in a structure equivalent to the input. See
<http://www.azillionmonkeys.com/qed/hash.html> for a description of the hash

Depends: Rgraphviz (>= 2.6.0), grid (>= 3.0.2)
Description: Drawing Hasse diagram - visualization of transitive reduction of a finite partially ordered set.
Packaged: 2014-07-28 22:29:31 UTC; Krzysztof

Depends: Rgraphviz (>= 2.6.0), grid (>= 3.0.2), graph
Packaged: 2017-01-15 18:39:35 UTC; Krzysztof

Packaged: 2017-02-23 23:15:48 UTC; Krzysztof

Packaged: 2014-04-12 10:09:02 UTC; Krzysztof

Packaged: 2021-06-10 05:57:31 UTC; Krzysztof

Description: Import foreign statistical formats into R via the ReadStat C
library. Package includes preliminary support for writing Stata and SPSS
person("Evan", "Miller", , role = c("aut", "cph"),
comment = "Author of included ReadStat code"),
Evan Miller [aut, cph] (Author of included ReadStat code),

Description: Import foreign statistical formats into R via the embedded
ReadStat C library (https://github.com/WizardMac/ReadStat). Package includes
preliminary support for writing Stata and SPSS formats.