'CDsampling': Constraint Sampling in Paid Research Studies

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Documentation for package ‘CDsampling’ version 0.1.1

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approxtoexact_constrained_func Convert the approximate allocation (proportion) to exact allocation (integer) with bounded constraint (ni <= Ni)
approxtoexact_func Convert the approximate allocation (proportion) to exact allocation (integer) without constraint
constrained_uniform Find (constrained) uniform exact allocation of the study for bounded design
Fdet_func_GLM Determinant of Fisher information matrix for GLM
Fdet_func_MLM Determinant of Fisher information matrix of multinomial logistic model (MLM)
Fdet_func_unif Determinant function to be used for finding constrained uniform samplings
Fi_func_MLM Generate Fisher information matrix F_x at a design point x_i for Multinomial logistic regression model
F_func_GLM Fisher information matrix of generalized linear model (GLM)
F_func_MLM The Fisher information matrix of multinomial logistic model (MLM)
iset_func_trauma trauma_data example (see Huang, Tong, Yang (2023)) specific function for finding index set that if allocation of that index add "1", the new allocation still falls within the constraint Used in approxtoexact_constrained_func()
iset_func_trial trial_data example (see Huang, Tong, Yang (2023)) specific function for finding index set that if allocation of that index add "1", the new allocation still falls within the constraint Used in approxtoexact_constrained_func()
liftone_constrained_GLM Find constrained D-optimal approximate design for generalized linear models (GLM)
liftone_constrained_MLM Find constrained D-optimal designs for Multinomial Logit Models (MLM)
liftone_GLM Unconstrained lift-one algorithm to find D-optimal allocations for GLM
liftone_MLM Unconstrained lift-one algorithm to find D-optimal allocations for MLM
trauma_data Trauma data with multinomial response
trial_data Generated clinical trial data with binary response
W_func_GLM Calculate the diagonal elements nu of Fisher information matrix