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skpr

Design of Experiments Suite: Generate and Evaluate Optimal Designs

Generates and evaluates D, I, A, Alias, E, T, and G optimal designs. Supports generation and evaluation of blocked and split/split-split/.../N-split plot designs. Includes parametric and Monte Carlo power evaluation functions, and supports calculating power for censored responses. Provides a framework to evaluate power using functions provided in other packages or written by the user. Includes a Shiny graphical user interface that displays the underlying code used to create and evaluate the design to improve ease-of-use and make analyses more reproducible.

Functions (54)

aliasmodel

Alias terms

anticoef_from_delta

Generates Anticipated Coefficients from delta

anticoef_from_delta_surv

Generates Anticipated Coefficients from delta for eval_design_suvival_mc

blockingstructure

Find block sizes in column

calc_conservative_anticoef

Calculate Conservative Anticipated Coefficients

calc_interaction_degrees

Calculate Interaction Degrees of Freedom

calcblocksizes

Calculate block sizes

calcnoncentralparam

Calculate Non-Centrality Parameter

calculate_degrees_of_freedom

Calculate Degrees of Freedom

calculate_gefficiency

Calculate G Efficiency Either calculates G-Efficiency by Monte Carlo sampling from the design space (ignoring constraints), searching for the maximum point (slower but higher quality), or by using a user-specified candidate set for the design space (fastest).

calculate_level_vector

Calculate level vector

calculate_split_columns

Calculate Split Plot Columns

calculatepower

Calculate Power

constructRunMatrix

Construct Run Matrix given rows

contr.simplex

Orthonormal Contrast Generator

convert_blockcolumn_rownames

Convert Block Column to Rownames