mi.mult.r.sqr: Calculate Multiple R-Squared Effect Sizes of an Amelia Object...
In jsraadt/Earhart: Calculate Multiple R-squared of a Data Set with Missing Data

Description Usage Arguments Value

Calculate Multiple R-Squared Effect Sizes of an Amelia Object (Multiple Imputation)

mi.mult.r.sqr(data = data, num.imp = num.imp, dv.list = c(NULL),
  num.dv = num.dv, iv.list = c(NULL), num.iv = num.iv,
  num.obs = num.obs, idvars = c(NULL), emburn = c(min.iterations,
  max.iterations))

`data`	A data frame with missing data, e.g. <my.data.frame>
`num.imp`	A number representing how many imputations the embeded Amelia function will create, e.g. <20>
`dv.list`	A list of characters to be treated as dependent variables in the Amelia object , e.g. <c("dv1")>, (this package currently only supports a single DV)
`num.dv`	A number representing how many dependent variables are in your desired model, e.g. <1>, (currently restircted to 1, but it is included for future version in which multivariate regression will be supported)
`iv.list`	A list of characters to be treated as independent variables in the Amelia object, e.g. <c("iv1","iv2","iv3"), (must match names of variables from the data.frame in the 'data' argument of this function)
`num.iv`	A number representing how many independent variables in your desired model, e.g. <3>
`num.obs`	A number representing how many observations are in the data set, e.g. <420>, (must match the number of rows in the data.frame in the 'data' argument of this function)
`idvars`	A list of characters to be treated as id variables by the embedded Amelia function, e.g. <c("id","year")
`emburn`	A list of numbers representing the minimum and maximum nubmer of iterations the embedded Amelia function should use until convergence is reached by the EM algorithm, e.g. c(5,50)