lambda.reg | R Documentation |
Calculates the population share of row members in a particular column
lambda.reg(object, columns)
object |
An R object of class |
columns |
a character vector of column names to be included in calculating the shares |
Standard errors are calculated using the delta method as implemented in
the library msm
. The arguments passed to
deltamethod
in msm
include
g
a list of transformations of the form ~ x1 / (x1 + x2 +
+ ... + xk)
, ~ x2 / (x1 + x2 + ... + xk)
, etc.. Each
xc is the estimated proportion of all row members in column
c, beta_rc
mean
the estimated proportions of the row members in the
specified columns, as a proportion of the total number of row
members, (beta_r1, beta_r2, ..., beta_rk).
cov
a diagonal matrix with the estimated variance of each
beta_rc on the diagonal. Each column
marginal is assumed to be independent, such that the off-diagonal
elements of this matrix are zero. Estimates come from
object$cov.matrices
, the estimated covariance matrix from
the regression of the relevant column. Thus,
cov | = | Var(beta_r1) | 0 | 0 | ... |
0 | Var(beta_r2) | 0 | ... | ||
0 | 0 | Var(beta_{r3}) | ... | ||
... | ... | ... | ... | ||
Returns a list with the following elements
call |
the call to |
lambda |
an R x k matrix where k is the number of columns included in the share calculation |
se |
standard errors calculated using the delta method as implemented
in the library |
Ryan T. Moore <rtm@american.edu>
ei.reg
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