Estimates a logistic regression model by maximizing the conditional likelihood. The conditional likelihood calculations are exact, and scale efficiently to strata with large numbers of cases.
1 2 3 |
formula |
Model formula |
strata |
Factor describing membership of strata for conditioning |
data |
data frame containing the variables in the formula and strata arguments |
subset |
subset of records to use |
na.action |
missing value handling |
init |
initial values |
model |
a logical value indicating whether model frame should be included as a component of the returned value |
x,y |
logical values indicating whether the response vector and model matrix used in the fitting process should be returned as components of the returned value. |
contrasts |
an optional list. See the |
iter.max |
maximum number of iterations |
eps |
Convergence tolerance. Iteration continues until the relative
change in the conditional log likelihood is less than |
toler.chol |
Tolerance used for detection of a singularity during a Cholesky
decomposition of the variance matrix. This is used to detect
redundant predictor variables. Must be less than |
An object of class "clogistic"
. This is a list containing
the following components:
coefficients |
the estimates of the log-odds ratio parameters. If the model is over-determined there will be missing values in the vector corresponding to the redundant columns in the model matrix. |
var |
the variance matrix of the coefficients. Rows and columns corresponding to any missing coefficients are set to zero. |
loglik |
a vector of length 2 containing the log-likelihood with the initial values and with the final values of the coefficients. |
iter |
number of iterations used. |
n |
number of observations used. Observations may be dropped
either because they are missing, or because they belong to a
homogeneous stratum. For more details on which observations were
used, see |
informative |
if |
The output will also contain the following, for documentation see the
glm
object: terms
, formula
,
call
, contrasts
, xlevels
, and, optionally,
x
, y
, and/or frame
.
Martyn Plummer
1 2 |
Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.
All documentation is copyright its authors; we didn't write any of that.