SLSEdesign
Optimal Regression Design under the Second-Order Least Squares Estimator
Description
With given inputs that include number of points, discrete design space, a measure of skewness, models and parameter value, this package calculates the objective value, optimal designs and plot the equivalence theory under A- and D-optimal criteria under the second-order Least squares estimator. This package is based on the paper "Properties of optimal regression designs under the second-order least squares estimator" by Chi-Kuang Yeh and Julie Zhou (2021) <doi:10.1007/s00362-018-01076-6>.
Downloads
481
Last 30 days
8002nd
23.6K
Last 90 days
43.4K
Last year
Trend: -82% (30d vs prior 30d)
11
Last 30 days
36
Last 90 days
123
Last year
Trend: -35.3% (30d vs prior 30d)
0
Last 7 days
15
Last 30 days
0
All-time
autoCRAN-only: this name is served only by autoCRAN, so the count is exact.
CRAN Check Status
Show all 13 flavors
| Flavor | Status |
|---|---|
| r-devel-linux-x86_64-debian-clang | OK |
| r-devel-linux-x86_64-debian-gcc | OK |
| r-devel-linux-x86_64-fedora-clang | OK |
| r-devel-linux-x86_64-fedora-gcc | OK |
| r-devel-windows-x86_64 | OK |
| r-oldrel-macos-arm64 | OK |
| r-oldrel-macos-x86_64 | OK |
| r-oldrel-windows-x86_64 | OK |
| r-patched-linux-x86_64 | OK |
| r-release-linux-x86_64 | OK |
| r-release-macos-arm64 | OK |
| r-release-macos-x86_64 | OK |
| r-release-windows-x86_64 | OK |
Check History
OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 17, 2026
ERROR 12 OK · 0 NOTE · 0 WARNING · 2 ERROR · 0 FAILURE Mar 10, 2026
dependencies in R code
Missing or unexported objects: ‘CVXR::diag’ ‘CVXR::solve’
dependencies in R code
Missing or unexported objects: 'CVXR::diag' 'CVXR::solve'