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hicream
requires the awk
command to be
installed on your system. If you are using a Unix-based system,
awk
is likely already installed. If you are using Windows a
cywgin version of awk
is searched for by the package. You can install awk
by
downloading the Gawk package from the GNU website: https://www.gnu.org/software/gawk/.
More about AWK: https://en.wikipedia.org/wiki/AWK
hicream
requires the python
command to be
installed on your system (>=3.9). Additional Python packages
(scikit-learn
, kneebow
, numpy
,
and pandas
) are also required.
More about used Python packages:
To install Python modules, please check “Installing Python modules” in Python documentation. With pip:
pip install scikit-learn
pip install kneebow
pip install pandas
pip install numpy
sessionInfo()
## R version 4.5.1 (2025-06-13)
## Platform: x86_64-pc-linux-gnu
## Running under: Ubuntu 24.04.2 LTS
##
## Matrix products: default
## BLAS: /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3
## LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.26.so; LAPACK version 3.12.0
##
## locale:
## [1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C
## [3] LC_TIME=fr_FR.UTF-8 LC_COLLATE=C
## [5] LC_MONETARY=fr_FR.UTF-8 LC_MESSAGES=en_US.UTF-8
## [7] LC_PAPER=fr_FR.UTF-8 LC_NAME=C
## [9] LC_ADDRESS=C LC_TELEPHONE=C
## [11] LC_MEASUREMENT=fr_FR.UTF-8 LC_IDENTIFICATION=C
##
## time zone: Europe/Paris
## tzcode source: system (glibc)
##
## attached base packages:
## [1] stats graphics grDevices utils datasets methods base
##
## loaded via a namespace (and not attached):
## [1] digest_0.6.37 R6_2.6.1 fastmap_1.2.0 xfun_0.52
## [5] cachem_1.1.0 knitr_1.50 htmltools_0.5.8.1 rmarkdown_2.29
## [9] lifecycle_1.0.4 cli_3.6.5 sass_0.4.10 jquerylib_0.1.4
## [13] compiler_4.5.1 tools_4.5.1 evaluate_1.0.4 bslib_0.9.0
## [17] yaml_2.3.10 rlang_1.1.6 jsonlite_2.0.0
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.