Usage
egame123(formulas, data, subset, na.action, link = c("probit", "logit"), type = c("agent", "private"), startvals = c("sbi", "unif", "zero"), fixedUtils = NULL, sdformula = NULL, sdByPlayer = FALSE, boot = 0, bootreport = TRUE, profile, method = "BFGS", ...)
Arguments
formulas
a list of eight formulas, or a Formula
object
with eight right-hand sides. See "Details" and "Examples". subset
an optional logical vector specifying which observations from
data
to use in fitting.
na.action
how to deal with NA
s in data
. Defaults to
the na.action
setting of options
. See
na.omit
link
whether to use a probit (default) or logit link structure,
type
whether to use an agent-error ("agent", default) or
private-information ("private") stochastic structure.
startvals
whether to calculate starting values for the optimization
from statistical backwards induction ("sbi", default), draw them from a
uniform distribution ("unif"), or to set them all to 0 ("zero")
fixedUtils
numeric vector of values to fix for u11, u13, u15, u16,
u23, u25, u26, and u36. NULL
(the default) indicates that these
should be estimated with regressors, not fixed.
sdformula
an optional list of formulas or a Formula
containing a regression equation for the scale parameter. See
egame12
for details. sdByPlayer
logical: if scale parameters are being estimated (i.e.,
sdformula
or fixedUtils
is non-NULL
), should a separate
one be estimated for each player? This option is ignored unless
fixedUtils
or sdformula
is specified.
boot
integer: number of bootstrap iterations to perform (if any).
bootreport
logical: whether to print status bar during bootstrapping.
profile
output from running profile.game
on a previous
fit of the model, used to generate starting values for refitting when an
earlier fit converged to a non-global maximum. method
character string specifying which optimization routine to use
(see maxLik
) ...
other arguments to pass to the fitting function (see
odemaxLik).