Package: OPDOE 1.0-10
Albrecht Gebhardt
OPDOE: Optimal Design of Experiments
Several function related to Experimental Design are implemented here, see "Optimal Experimental Design with R" by Rasch D. et. al (ISBN 9781439816974).
Authors:
OPDOE_1.0-10.tar.gz
OPDOE_1.0-10.tar.gz(r-4.5-noble)OPDOE_1.0-10.tar.gz(r-4.4-noble)
OPDOE_1.0-10.tgz(r-4.4-emscripten)OPDOE_1.0-10.tgz(r-4.3-emscripten)
OPDOE.pdf |OPDOE.html✨
OPDOE/json (API)
| # Install 'OPDOE' in R: |
| install.packages('OPDOE', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- cattle - Cattle data
- had100 - Stored Hadmard matrices
- had116 - Stored Hadmard matrices
- had156 - Stored Hadmard matrices
- had172 - Stored Hadmard matrices
- had188 - Stored Hadmard matrices
- had236 - Stored Hadmard matrices
- had244 - Stored Hadmard matrices
- had52 - Stored Hadmard matrices
- had92 - Stored Hadmard matrices
- heights - Male / female heights data
- hemp - Hemp data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 7 years agofrom:cc4f73c76e. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 16 2024 |
| R-4.5-linux | OK | Nov 16 2024 |
Exports:add_size.mean.two_stageBetabibdconf.matrixConfint.mean.two_stagedecide.triangular.testdefining_relation.fractional_factorial.two_levelsdelta.t.testdesign.reg.polynomdesign.regression.polynomhadamard.matrixis.hadamardncpoptim_size_n.three_way_nested.model_4_aoptim_size_n.three_way_nested.model_4_cplot.triangular.testprint.bibdprint.design.regressionprint.triangular.testseqadd.confintseqadd.normalsize_a.three_way_mixed_cxbina.model_3_csize_a.three_way_mixed_cxbina.model_7_csize_ab.three_way_mixed_cxbina.model_7_csize_b.three_way_mixed_ab_in_c.model_3_asize_b.three_way_mixed_cxbina.model_4_asize_b.three_way_mixed_cxbina.model_4_axcsize_b.three_way_mixed_cxbina.model_4_csize_b.three_way_mixed_cxbina.model_7_csize_b.three_way_nested.model_6_asize_b.two_way_cross.mixed_model_a_fixed_asize_b.two_way_nested.b_random_a_fixed_asize_bc.three_way_cross.model_4_a_case1size_bc.three_way_cross.model_4_a_case2size_bc.three_way_mixed_cxbina.model_6_a_case1size_bc.three_way_mixed_cxbina.model_6_a_case2size_c.three_way_cross.model_3_asize_c.three_way_cross.model_3_axbsize_c.three_way_mixed_ab_in_c.model_5_asize_c.three_way_mixed_ab_in_c.model_5_axbsize_c.three_way_mixed_ab_in_c.model_5_bsize_c.three_way_mixed_ab_in_c.model_6_bsize_c.three_way_mixed_cxbina.model_5_asize_c.three_way_mixed_cxbina.model_5_bsize_c.three_way_mixed_cxbina.model_7_bsize_c.three_way_nested.model_5_asize_c.three_way_nested.model_5_bsize_c.three_way_nested.model_7_bsize_n.one_way.model_1size_n.regII.ci_b1size_n.regII.ci_expsize_n.regII.ci_rhosize_n.regII.test_rhosize_n.regII.test_rho_2size_n.regII.test_rho2size_n.three_way_cross.model_1_asize_n.three_way_cross.model_1_axbsize_n.three_way_cross.model_1_axbxcsize_n.three_way_mixed_ab_in_c.model_1_asize_n.three_way_mixed_ab_in_c.model_1_axbsize_n.three_way_mixed_ab_in_c.model_1_bsize_n.three_way_mixed_ab_in_c.model_1_csize_n.three_way_mixed_ab_in_c.model_3_csize_n.three_way_mixed_ab_in_c.model_4_csize_n.three_way_mixed_cxbina.model_1_asize_n.three_way_mixed_cxbina.model_1_axcsize_n.three_way_mixed_cxbina.model_1_bsize_n.three_way_mixed_cxbina.model_1_bxcsize_n.three_way_mixed_cxbina.model_1_csize_n.three_way_mixed_cxbina.model_3_bsize_n.three_way_mixed_cxbina.model_3_bxcsize_n.three_way_nested.model_1_asize_n.three_way_nested.model_1_bsize_n.three_way_nested.model_1_csize_n.three_way_nested.model_3_bsize_n.three_way_nested.model_3_csize_n.three_way_nested.model_4_asize_n.three_way_nested.model_4_csize_n.three_way_nested.model_8_csize_n.two_way_cross.model_1_asize_n.two_way_cross.model_1_axbsize_n.two_way_nested.a_random_b_fixed_bsize_n.two_way_nested.model_1_test_factor_asize_n.two_way_nested.model_1_test_factor_bsize.anovasize.comparing_probs.mcnemarsize.comparing.variancessize.multiple_t.testsize.prop_test.two_samplesize.prop.confintsize.prop.testsize.selection.bechhofersize.seq_select.meansize.t.testsize.variance.confintsizes.confint.welchtriangular.test.normtriangular.test.propupdate.triangular.testupdate.triangular.test.normupdate.triangular.test.prop
Dependencies:AlgDesigncrossdesgmpgtoolslatticemvtnormnlmeorthopolynompolynom
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Cattle data | cattle |
| Design for Polynomial Regression | design.reg.polynom design.regression.polynom |
| Regression Design Object | design.regression |
| Stored Hadmard matrices | had100 had116 had156 had172 had188 had236 had244 had52 had92 |
| male / female heights data | heights |
| Hemp data | hemp |
| (still) undocumented functions | add_size.mean.two_stage Beta bibd conf.matrix Confint.mean.two_stage conversion.low_high.two_levels decide.triangular.test defining_relation.fractional_factorial.two_levels delta.t.test hadamard.matrix hadamard.table is.hadamard jacobsthal legendre.symbol myGF myredu.modp ncp optim_size_n.three_way_nested.model_4_a optim_size_n.three_way_nested.model_4_c paley paley2 plot.triangular.test print.bibd seqadd.confint seqadd.normal size.comparing.variances size.comparing_probs.mcnemar size.multiple_t.test size.prop.confint size.prop.test size.prop_test.two_sample size.selection.bechhofer size.seq_select.mean size.t.test size.variance.confint sizes.confint.welch size_n.regII.ci_b1 size_n.regII.ci_exp size_n.regII.ci_rho size_n.regII.test_rho size_n.regII.test_rho2 size_n.regII.test_rho_2 size_n.three_way_nested.model_4_c sylvester walsh |
| Prints a regression design object | print.design.regression |
| Print method for Triangular Test Objects | print.triangular.test print.triangular.test.norm print.triangular.test.prop |
| Three-way analysis of variance - mixed classification (A in B) x C model III and VII | size_a.three_way_mixed_cxbina.model_3_c size_a.three_way_mixed_cxbina.model_7_c size_ab.three_way_mixed_cxbina.model_7_c |
| Three-way analysis of variance - nested and mixed classification A in B in C and (A in B) x C model III, IV and VII | size_b.three_way_mixed_ab_in_c.model_3_a size_b.three_way_mixed_cxbina.model_4_a size_b.three_way_mixed_cxbina.model_4_axc size_b.three_way_mixed_cxbina.model_4_c size_b.three_way_mixed_cxbina.model_7_c size_b.three_way_nested.model_6_a |
| Design for Two-Way ANOVA | size_b.two_way_cross.mixed_model_a_fixed_a size_b.two_way_nested.b_random_a_fixed_a |
| Three-way analysis of variance - cross classification (A in B) x C - model IV, Three-way analysis of variance - mixed classification (A in B) x C model VI | size_bc.three_way_cross.model_4_a_case1 size_bc.three_way_cross.model_4_a_case2 size_bc.three_way_mixed_cxbina.model_6_a_case1 size_bc.three_way_mixed_cxbina.model_6_a_case2 |
| Three-way analysis of variance - several cross-, nested and mixed classifications. | size_c.three_way_cross.model_3_a size_c.three_way_cross.model_3_axb size_c.three_way_mixed_ab_in_c.model_5_a size_c.three_way_mixed_ab_in_c.model_5_axb size_c.three_way_mixed_ab_in_c.model_5_b size_c.three_way_mixed_ab_in_c.model_6_b size_c.three_way_mixed_cxbina.model_5_a size_c.three_way_mixed_cxbina.model_5_b size_c.three_way_mixed_cxbina.model_7_b size_c.three_way_nested.model_5_a size_c.three_way_nested.model_5_b size_c.three_way_nested.model_7_b |
| Design for One-Way ANOVA | size_n.one_way.model_1 |
| Design for Three-Way ANOVA | size_n.three_way_cross.model_1_a size_n.three_way_cross.model_1_axb size_n.three_way_cross.model_1_axbxc size_n.three_way_mixed_ab_in_c.model_1_a size_n.three_way_mixed_ab_in_c.model_1_axb size_n.three_way_mixed_ab_in_c.model_1_b size_n.three_way_mixed_ab_in_c.model_1_c size_n.three_way_mixed_ab_in_c.model_3_c size_n.three_way_mixed_ab_in_c.model_4_c size_n.three_way_mixed_cxbina.model_1_a size_n.three_way_mixed_cxbina.model_1_axc size_n.three_way_mixed_cxbina.model_1_b size_n.three_way_mixed_cxbina.model_1_bxc size_n.three_way_mixed_cxbina.model_1_c size_n.three_way_mixed_cxbina.model_3_b size_n.three_way_mixed_cxbina.model_3_bxc size_n.three_way_nested.model_1_a size_n.three_way_nested.model_1_b size_n.three_way_nested.model_1_c size_n.three_way_nested.model_3_b size_n.three_way_nested.model_3_c size_n.three_way_nested.model_4_a size_n.three_way_nested.model_8_c |
| Design for Two-Way ANOVA | size_n.two_way_cross.model_1_a size_n.two_way_cross.model_1_axb size_n.two_way_nested.a_random_b_fixed_b size_n.two_way_nested.model_1_test_factor_a size_n.two_way_nested.model_1_test_factor_b |
| Design of Experiments for ANOVA | size.anova |
| Triangular Test Object | triangular.test |
| Triangular Test for Normal Data | triangular.test.norm |
| Triangular Test for Bernoulli Data | triangular.test.prop |
| Print method for Triangular Test Objects | update.triangular.test update.triangular.test.norm update.triangular.test.prop |