Design of Experiments Suite: Generate and Evaluate Optimal Designs
Converts dot operator to terms
Converts dot operator to terms
Detect and list disallowed combinations in candidate set
Calculate Effect Power
Generate Parameter Matrix
Fit Anova for Effect Power Calculation in Monte Carlo
Calculate Power of an Experimental Design
Monte Carlo power evaluation for experimental designs with user-suppli...
Monte Carlo Power Evaluation for Experimental Designs
Evaluate Power for Survival Design
Extract p-values from a model object
Generates Anticipated Coefficients
Generates Binomial Anticipated Coefficients
Generate optimal experimental designs
Generates Exponential Anticipated Coefficients
Generates the moment matrix
Generates Poisson Anticipated Coefficients
Generate Block Panel
Generate Factor Input Panel
Generate Noise Block
Generate Optimality Results
Generate Hypothesis Matrix
Calculate CI bounds on Monte Carlo
Alias terms
Generates Anticipated Coefficients from delta
Generates Anticipated Coefficients from delta for eval_design_suvival_...
Find block sizes in column
Calculate Conservative Anticipated Coefficients
Calculate Interaction Degrees of Freedom
Calculate block sizes
Calculate Non-Centrality Parameter
Determine Nesting Level of Blocks
Calculate Degrees of Freedom
Calculate G Efficiency
Calculate level vector
Calculate Power Curves
Calculate Split Plot Columns
Calculate V from Blocks
Calculate Power
check_for_suggest_packages
Check Model Formula Validity
Construct Run Matrix given rows
Orthonormal Contrast Generator
Convert Block Column to Rownames
Get attribute values
Calculate block structure lengths
Get optimality values
Get Power Curve Warnings and Errors
Layer Interaction
Determines if rendering in knitr
Normalize Design
Calculates parameter power
Permutations
re-export magrittr pipe operator
Plots design diagnostics
Fraction of Design Space Plot
Find potential permuted interactions
Print evaluation information
Print evaluation information
Prior levels
quadratic
Rearrange formula by order
Remove columns not in model
Remove skpr-generated blocking columns
Run Documentation
Set up progressr handler
Graphical User Interface for skpr
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. For details, see Morgan-Wall et al. (2021) <doi:10.18637/jss.v099.i01>.
Useful links