The hiredis library (eg via package libhiredis-dev
on Debian/Ubuntu, hiredis-devel on Fedora/RedHat, or directly
from source from https://github.com/redis/hiredis) is required.
MsgPack support is activated if the (optional) RcppMsgPack
package is detected.

Connection to the 'Redis' key/value store using the
C-language client library 'hiredis' (included as a fallback) with
'MsgPack' encoding provided via 'RcppMsgPack' headers. It now also
includes the pub/sub functions from the 'rredis' package.
An available hiredis library (eg via package
libhiredis-dev on Debian/Ubuntu, hiredis-devel on
Fedora/RedHat, or directly from source from
<https://github.com/redis/hiredis>) can be used but version
1.0.2 is also included and built on demand if needed.

An available hiredis library (eg via package
libhiredis-dev on Debian/Ubuntu, hiredis-devel on
Fedora/RedHat, or directly from source from
<https://github.com/redis/hiredis>) can be used but version
1.0.2 is also included and built on demand if needed. The
optional (but suggested) 'rredis' package can be installed from
the 'ghrr' 'drat' repo for additional illustrations and tests.

An available hiredis library (eg via package
libhiredis-dev on Debian/Ubuntu, hiredis-devel on
Fedora/RedHat, or directly from source from
<https://github.com/redis/hiredis>) can be used but version
1.0.2 is also included and built on demand if needed. The
optional 'rredis' package can be installed from the 'ghrr'
'drat' repo for additional illustrations and tests.

Fast rolling functions through Rcpp and RcppArmadillo
RcppRoll supplies fast functions for 'roll'ing over
vectors and matrices, e.g. rolling means, medians and
variances. It also provides the utility functions 'rollit' and
'rollit_raw' as an interface for generating your own C++ backed
rolling functions.
'package_description.R' 'RcppExports.R' 'roll_mean.R'
'roll_sum.R' 'roll_var.R' 'roll_sd.R' 'roll_prod.R'
'roll_median.R' 'roll_max.R' 'roll_min.R' 'get_rollit_source.R'
'rollit_example.R' 'rollit_raw.R' 'rollit.R'