R: Optimal Design of Experiments

# Optimal Design of Experiments

## Documentation for package ‘OPDOE’ version 1.0-10

- DESCRIPTION file

## Help Pages

A B C D H I J L M N O P S T U W

## -- A --

add_size.mean.two_stage | (still) undocumented functions

## -- B --

Beta | (still) undocumented functions
bibd | (still) undocumented functions

## -- C --

cattle | Cattle data
conf.matrix | (still) undocumented functions
Confint.mean.two_stage | (still) undocumented functions
conversion.low_high.two_levels | (still) undocumented functions

## -- D --

decide.triangular.test | (still) undocumented functions
defining_relation.fractional_factorial.two_levels | (still) undocumented functions
delta.t.test | (still) undocumented functions
design.reg.polynom | Design for Polynomial Regression
design.regression | Regression Design Object
design.regression.polynom | Design for Polynomial Regression

## -- H --

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
hadamard.matrix | (still) undocumented functions
hadamard.table | (still) undocumented functions
heights | male / female heights data
hemp | Hemp data

## -- I --

is.hadamard | (still) undocumented functions

## -- J --

jacobsthal | (still) undocumented functions

## -- L --

legendre.symbol | (still) undocumented functions

## -- M --

myGF | (still) undocumented functions
myredu.modp | (still) undocumented functions

## -- N --

ncp | (still) undocumented functions

## -- O --

optim_size_n.three_way_nested.model_4_a | (still) undocumented functions
optim_size_n.three_way_nested.model_4_c | (still) undocumented functions

## -- P --

paley | (still) undocumented functions
paley2 | (still) undocumented functions
plot.triangular.test | (still) undocumented functions
print.bibd | (still) undocumented functions
print.design.regression | Prints a regression design object
print.triangular.test | Print method for Triangular Test Objects
print.triangular.test.norm | Print method for Triangular Test Objects
print.triangular.test.prop | Print method for Triangular Test Objects

## -- S --

seqadd.confint | (still) undocumented functions
seqadd.normal | (still) undocumented functions
size.anova | Design of Experiments for ANOVA
size.comparing.variances | (still) undocumented functions
size.comparing_probs.mcnemar | (still) undocumented functions
size.multiple_t.test | (still) undocumented functions
size.prop.confint | (still) undocumented functions
size.prop.test | (still) undocumented functions
size.prop_test.two_sample | (still) undocumented functions
size.selection.bechhofer | (still) undocumented functions
size.seq_select.mean | (still) undocumented functions
size.t.test | (still) undocumented functions
size.variance.confint | (still) undocumented functions
sizes.confint.welch | (still) undocumented functions
size_a.three_way_mixed_cxbina.model_3_c | Three-way analysis of variance - mixed classification (A in B) x C model III and VII
size_a.three_way_mixed_cxbina.model_7_c | Three-way analysis of variance - mixed classification (A in B) x C model III and VII
size_ab.three_way_mixed_cxbina.model_7_c | Three-way analysis of variance - mixed classification (A in B) x C model III and VII
size_b.three_way_mixed_ab_in_c.model_3_a | 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_cxbina.model_4_a | 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_cxbina.model_4_axc | 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_cxbina.model_4_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_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_nested.model_6_a | 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.two_way_cross.mixed_model_a_fixed_a | Design for Two-Way ANOVA
size_b.two_way_nested.b_random_a_fixed_a | Design for Two-Way ANOVA
size_bc.three_way_cross.model_4_a_case1 | 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_case2 | 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_mixed_cxbina.model_6_a_case1 | 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_mixed_cxbina.model_6_a_case2 | 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_c.three_way_cross.model_3_a | Three-way analysis of variance - several cross-, nested and mixed classifications.
size_c.three_way_cross.model_3_axb | Three-way analysis of variance - several cross-, nested and mixed classifications.
size_c.three_way_mixed_ab_in_c.model_5_a | Three-way analysis of variance - several cross-, nested and mixed classifications.
size_c.three_way_mixed_ab_in_c.model_5_axb | Three-way analysis of variance - several cross-, nested and mixed classifications.
size_c.three_way_mixed_ab_in_c.model_5_b | Three-way analysis of variance - several cross-, nested and mixed classifications.
size_c.three_way_mixed_ab_in_c.model_6_b | Three-way analysis of variance - several cross-, nested and mixed classifications.
size_c.three_way_mixed_cxbina.model_5_a | Three-way analysis of variance - several cross-, nested and mixed classifications.
size_c.three_way_mixed_cxbina.model_5_b | Three-way analysis of variance - several cross-, nested and mixed classifications.
size_c.three_way_mixed_cxbina.model_7_b | Three-way analysis of variance - several cross-, nested and mixed classifications.
size_c.three_way_nested.model_5_a | Three-way analysis of variance - several cross-, nested and mixed classifications.
size_c.three_way_nested.model_5_b | Three-way analysis of variance - several cross-, nested and mixed classifications.
size_c.three_way_nested.model_7_b | Three-way analysis of variance - several cross-, nested and mixed classifications.
size_n.one_way.model_1 | Design for One-Way ANOVA
size_n.regII.ci_b1 | (still) undocumented functions
size_n.regII.ci_exp | (still) undocumented functions
size_n.regII.ci_rho | (still) undocumented functions
size_n.regII.test_rho | (still) undocumented functions
size_n.regII.test_rho2 | (still) undocumented functions
size_n.regII.test_rho_2 | (still) undocumented functions
size_n.three_way_cross.model_1_a | Design for Three-Way ANOVA
size_n.three_way_cross.model_1_axb | Design for Three-Way ANOVA
size_n.three_way_cross.model_1_axbxc | Design for Three-Way ANOVA
size_n.three_way_mixed_ab_in_c.model_1_a | Design for Three-Way ANOVA
size_n.three_way_mixed_ab_in_c.model_1_axb | Design for Three-Way ANOVA
size_n.three_way_mixed_ab_in_c.model_1_b | Design for Three-Way ANOVA
size_n.three_way_mixed_ab_in_c.model_1_c | Design for Three-Way ANOVA
size_n.three_way_mixed_ab_in_c.model_3_c | Design for Three-Way ANOVA
size_n.three_way_mixed_ab_in_c.model_4_c | Design for Three-Way ANOVA
size_n.three_way_mixed_cxbina.model_1_a | Design for Three-Way ANOVA
size_n.three_way_mixed_cxbina.model_1_axc | Design for Three-Way ANOVA
size_n.three_way_mixed_cxbina.model_1_b | Design for Three-Way ANOVA
size_n.three_way_mixed_cxbina.model_1_bxc | Design for Three-Way ANOVA
size_n.three_way_mixed_cxbina.model_1_c | Design for Three-Way ANOVA
size_n.three_way_mixed_cxbina.model_3_b | Design for Three-Way ANOVA
size_n.three_way_mixed_cxbina.model_3_bxc | Design for Three-Way ANOVA
size_n.three_way_nested.model_1_a | Design for Three-Way ANOVA
size_n.three_way_nested.model_1_b | Design for Three-Way ANOVA
size_n.three_way_nested.model_1_c | Design for Three-Way ANOVA
size_n.three_way_nested.model_3_b | Design for Three-Way ANOVA
size_n.three_way_nested.model_3_c | Design for Three-Way ANOVA
size_n.three_way_nested.model_4_a | Design for Three-Way ANOVA
size_n.three_way_nested.model_4_c | (still) undocumented functions
size_n.three_way_nested.model_8_c | Design for Three-Way ANOVA
size_n.two_way_cross.model_1_a | Design for Two-Way ANOVA
size_n.two_way_cross.model_1_axb | Design for Two-Way ANOVA
size_n.two_way_nested.a_random_b_fixed_b | Design for Two-Way ANOVA
size_n.two_way_nested.model_1_test_factor_a | Design for Two-Way ANOVA
size_n.two_way_nested.model_1_test_factor_b | Design for Two-Way ANOVA
sylvester | (still) undocumented functions

## -- T --

triangular.test | Triangular Test Object
triangular.test.norm | Triangular Test for Normal Data
triangular.test.prop | Triangular Test for Bernoulli Data

## -- U --

update.triangular.test | Print method for Triangular Test Objects
update.triangular.test.norm | Print method for Triangular Test Objects
update.triangular.test.prop | Print method for Triangular Test Objects

## -- W --

walsh | (still) undocumented functions