getInitialEstimatesTheta: Fit a simple linear model to get initial values for...
In kreidles/informativeDropout: informativeDropout: varying coefficient models to account for informative dropout
Description
Fit a simple linear model to get initial values for regression
coefficients associated with splines
Usage
1
getInitialEstimatesTheta(dist, groupList, groups, X, covariates, outcomes)
Arguments
dist
the distribution of the outcome ("gaussian" or "binary")
groupList
list of groups
groups
vector of group assignments
X
data frame containing predictor variables (assumes a column of ones for an intercept)
covariates
data frame containing covariate values
outcomes
vector of outcomes
kreidles/informativeDropout documentation built on Sept. 13, 2020, 12:15 a.m.
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Description
Fit a simple linear model to get initial values for regression coefficients associated with splines
Usage
1 | getInitialEstimatesTheta(dist, groupList, groups, X, covariates, outcomes)
|
Arguments
dist |
the distribution of the outcome ("gaussian" or "binary") |
groupList |
list of groups |
groups |
vector of group assignments |
X |
data frame containing predictor variables (assumes a column of ones for an intercept) |
covariates |
data frame containing covariate values |
outcomes |
vector of outcomes |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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