# Man pages for mst1g15/biasedcoin

 atkins Assuming a linear model for the response, allocate treatment... calc.A Given a design matrix, calculate the A optimality for a... calc.bias Given a design, the current estimate of beta (or true value... calc.D Given a design matrix, calculate the D optimality for a... calc.DA Given a design matrix, calculate the D-A optimality for a... calc.G Given a design matrix, calculate the G optimality for a... calc.logit.wDA Calculate DA-optimal criterion assuming a logistic model... calc.logit.wL Calculate L-optimal criterion assuming a logistic model (with... calc.loss Given a design matrix, calculate the loss for a linear model calc.mse Given a design, the current estimate of beta (or true value... calc.tz Given a design matrix, calculate the covariate balance for a... calc.vcov Given a design, the current estimate of beta (or true value... calc.wDA Calculate DA-optimal criterion assuming a linear model (with... calc.wL Calculate L-optimal criterion assuming a linear model (with... calc.y.D Compute the D-optimality criterion of the information matrix... calc.y.DA Compute the DA-optimality criterion of the information matrix... calc.y.G Compute the G-optimality criterion of the information matrix... coord.cr Allocate treatment using a coordinate exchange algorithm with... coordex Allocate treatment using coordinate exchange algorithm,... cr.bayes.des Assuming a Bayesian linear model for the response with a... cr.des Assuming a linear model for the response, allocate treatment... cr.des.pseudo Allocate treatments according to a (weighted) L-optimal... cr.exp.loss Break down expected future optimality into two components: 1)... cr.future Calculate (weighted) L-optimal expected optimality for a... cr.future.loss Assuming the currrent response, future covariate value and... cr.future.y Assuming a current response, break down the expected future... cr.logit.cont Assuming a logistic model for the response, allocate... cr.logit.des Assuming a logistic model for the response, allocate... cr.rand Assuming a logistic model for the response, allocate... cr.simfuture.logis Allocate treatments according to an information matrix based... cr.simfuture.logis.cont Allocate treatments according to weighted L-optimal objective... discrete discretize a vector of continuous values into binary (0 and... Dopt.y.t Compute the D-optimality criterion of the information matrix... Dopt.y.t.init Compute the D-optimality criterion of of an initial design... efron Allocate treatment basead on Efron's biased coin exp.loss Break down expected future optimality into two components: 1)... exp.loss.k Break down the expected future optimality by cases for every... future Calculate expected optimality for a given trajectory using... future.coordex Calculates expected optimality for a given trajectory after... future.coordex.logis Calculate expected optimality for a given trajectory using... future.logis Calculate expected optimality for a given trajectory using... future.logis.cont Calculate expected optimality for a given trajectory using... future.loss Assuming the currrent response, future covariate value and... future.loss.k Assuming the currrent response, future covariate value and... future.y Assuming a current response, break down the expected future... gencov Create a set of binary covariates with a specific covariate... Imat.beta Compute the information matrix, given beta, for logistic... learn.zprobs Find the empirical distribution of the covariates linear.nonmyop Allocate treatments according to an information matrix based... linear.nonmyop.dyn Allocate treatments according to an information matrix based... linear.rand Assuming a linear model for the response, allocate treatment... logit.cont Assuming a logistic model for the response, allocate a... logit.coord Assuming a logistic model for the response, allocate... logit.des Assuming a logistic model for the response, allocate... logit.Lbnon Allocate treatments according to a weighted L-optimal... logit.mse Allocate treatments according to the MSE matrix when a... logit.nonmy Allocate treatments according to an information matrix based... logit.rand Assuming a logistic model for the response, allocate... max.imb Allocate treatment based on Hu and Hu (2012)'s version of... min.classic Classic version of Minimization, appropriate for binary... min.cont Allocate treatment using a version of minimization,... min.gen Allocate treatment based on an imbalance criterion - most... min.sen Allocate treatment using Senn's version of Minimization,... probi Compute P(y=1) for logistic regression rand Randomly allocate treatment shadeplot Plot distribution simfuture Allocate treatments according to an information matrix based... simfuture.logis Allocate treatments according to an information matrix based... simfuture.logis.cont Allocate continuous treatments according to an information... wLopt.pseudo.t Calculate average L-optimal criterion assuming a logistic... wLopt.t Calculate L-optimal criterion assuming a logistic model (with... wLopt.t.init Calculate L-optimal criterion assuming a logistic model (with...
mst1g15/biasedcoin documentation built on March 23, 2019, 12:10 a.m.