Package: DesignCTPB 1.1.1

Yitao Lu

DesignCTPB: Design Clinical Trials with Potential Biomarker Effect

Applying 'CUDA' 'GPUs' via 'Numba' for optimal clinical design. It allows the user to utilize a 'reticulate' 'Python' environment and run intensive Monte Carlo simulation to get the optimal cutoff for the clinical design with potential biomarker effect, which can guide the realistic clinical trials.

Authors:Yitao Lu [aut, cre], Belaid [aut], Julie Zhou [aut], Li Xing [aut], Xuekui Zhang [aut]

DesignCTPB_1.1.1.tar.gz
DesignCTPB_1.1.1.zip(r-4.5)DesignCTPB_1.1.1.zip(r-4.4)DesignCTPB_1.1.1.zip(r-4.3)
DesignCTPB_1.1.1.tgz(r-4.4-any)DesignCTPB_1.1.1.tgz(r-4.3-any)
DesignCTPB_1.1.1.tar.gz(r-4.5-noble)DesignCTPB_1.1.1.tar.gz(r-4.4-noble)
DesignCTPB_1.1.1.tgz(r-4.4-emscripten)DesignCTPB_1.1.1.tgz(r-4.3-emscripten)
DesignCTPB.pdf |DesignCTPB.html✨
DesignCTPB/json (API)

Peer review:

Bug tracker:https://github.com/ubcxzhang/designctpb/issues

On CRAN:

2 exports 1 stars 0.83 score 80 dependencies 5 scripts 177 downloads

Last updated 3 years agofrom:6fe5bbb323. Checks:OK: 3 NOTE: 4. Indexed: yes.

Exports:alpha.splitdesignCTPB

Dependencies:askpassbase64encbslibcachemclicolorspacecpp11crosstalkcurldata.tabledigestdotCall64dplyrevaluatefansifarverfastmapfieldsfontawesomefsgenericsggplot2gluegtableherehighrhtmltoolshtmlwidgetshttrisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclemagrittrmapsMASSMatrixmemoisemgcvmimemnormtmunsellnlmeopensslpillarpkgconfigplotlypngpromisespurrrR6rappdirsRColorBrewerRcppRcppTOMLreticulaterlangrmarkdownrprojrootsassscalesspamstringistringrsystibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyaml