cemspace {cem} | R Documentation |
Exploration tool for CEM
Description
Exploration tool for CEM
Usage
cemspace(treatment=NULL, data = NULL, R=100, grouping = NULL, drop=NULL,
L1.breaks = NULL, L1.grouping=NULL, plot = TRUE, fixed = NULL,
minimal = 1, maximal = 5, M=250, raw.profile=NULL, keep.weights=FALSE,
verbose=1)
Arguments
treatment |
character, name of the treatment variable. |
data |
a data.frame. |
verbose |
integer, controls output. |
R |
number of possible random coarsening for the CEM. |
grouping |
named list, each element of which is a list of
groupings for a single categorical variable. For more details see |
drop |
a vector of variable names in the data frame to ignore during matching |
L1.breaks |
list of cutpoints for the calculation of the L1 measure. |
L1.grouping |
as |
plot |
plot the space of solutions? |
fixed |
vector of variable names which will not be relaxed. |
minimal |
the minimal number of intervals acceptable after relaxation. Should be a nameed list of positive integers or if a number, this is applied to all variables. |
maximal |
the maximal number of intervals acceptable after relaxation. Should be a nameed list of positive integers or if a number, this is applied to all variables. |
M |
number of possible random coarsening for the L1 measure |
raw.profile |
an object of class |
keep.weights |
if |
Details
This is a tool to help the user to explore different cem solutions by choosing
random coarsenings. The algorithm tries R
random choiches
of coarsenings into
intervals between minimal
and maximal
for numerical, integer or
ordered factors. It drops or include dichotomous or boolean variables.
Calling directly plot
on the output of cemspace
has the same
effect of calling directly imbspace.plot
.
If you want to relax a given cem solution, use the function
imbspace
instead.
Value
val |
an invisible object of class |
Author(s)
Stefano Iacus, Gary King, and Giuseppe Porro
References
Iacus, King, Porro (2011) doi:10.1198/jasa.2011.tm09599
Iacus, King, Porro (2012) doi:10.1093/pan/mpr013
Iacus, King, Porro (2019) doi:10.1017/pan.2018.29
See Also
Examples
data(LL)
set.seed(123)
tmp <- cemspace("treated", LL, drop="re78", M=50)