minimizePocSim {randPack} | R Documentation |
use the Pocock-Simon or Taves algorithm for computing covariate-adaptive 'minimization' allocations for a clinical trial
minimizePocSim(df, features, trtvec, obsdf, trttab, f = function(x, y) sum(abs(x + 1 - y))) minimizeTaves(df, features, trtvec, obsdf, trttab)
df |
a data frame with columns corresponding to covariates rows corresponding to subjects |
features |
character vector of covariates to use |
trtvec |
vector of assignments made so far |
obsdf |
data frame for incoming observation, with values for
all components enumerated in |
trttab |
table of treatment ratios |
f |
score that determines impending allocation |
These functions are generally not called directly. See the vignette; if supplied as the method slot of a MinimizationDesc object the appropriate data are assembled as arguments to these functions.
a treatment code
new("MinimizationDesc", treatments=c(A=1L, B=1L), method=minimizePocSim, type="Minimization", featuresInUse="sex")