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