Package: SPCompute 1.0.3

SPCompute: Compute Power or Sample Size for GWAS with Covariate Effect

Fast computation of the required sample size or the achieved power, for GWAS studies with different types of covariate effects and different types of covariate-gene dependency structure. For the detailed description of the methodology, see Zhang (2022) "Power and Sample Size Computation for Genetic Association Studies of Binary Traits: Accounting for Covariate Effects" <arxiv:2203.15641>.

Authors:Ziang Zhang, Lei Sun

SPCompute_1.0.3.tar.gz
SPCompute_1.0.3.zip(r-4.5)SPCompute_1.0.3.zip(r-4.4)SPCompute_1.0.3.zip(r-4.3)
SPCompute_1.0.3.tgz(r-4.4-any)SPCompute_1.0.3.tgz(r-4.3-any)
SPCompute_1.0.3.tar.gz(r-4.5-noble)SPCompute_1.0.3.tar.gz(r-4.4-noble)
SPCompute_1.0.3.tgz(r-4.4-emscripten)SPCompute_1.0.3.tgz(r-4.3-emscripten)
SPCompute.pdf |SPCompute.html✨
SPCompute/json (API)
NEWS

Peer review:

Bug tracker:https://github.com/aguerozz/spcompute/issues

On CRAN:

6 exports 0.74 score 2 dependencies 13 scripts 234 downloads

Last updated 2 years agofrom:25648f47a3. Checks:OK: 7. Indexed: yes.

Exports:check_parametersCompute_PowerCompute_Power_multiCompute_SizeCompute_Size_multiconvert_preva_to_intercept

Dependencies:latticeMatrix