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import(stats,Matrix)
importFrom(memisc,getSummary,"%nin%",Sapply)
importFrom(methods,as)
export(
mclogit,
mclogit.fit,
mmclogit.fitPQLMQL,
mclogit.control,
mmclogit.control,
getSummary.mclogit,
getSummary.mmclogit,
mblogit,
getSummary.mblogit,
getSummary.mmblogit
)
S3method(print,mclogit)
S3method(vcov,mclogit)
S3method(deviance,mclogit)
S3method(logLik,mclogit)
S3method(summary,mclogit)
S3method(print,summary.mclogit)
S3method(fitted,mclogit)
S3method(predict,mclogit)
S3method(weights,mclogit)
S3method(residuals,mclogit)
S3method(AIC,mclogit)
S3method(BIC,mclogit)
S3method(nobs,mclogit)
S3method(extractAIC,mclogit)
S3method(anova,mclogit)
S3method(update,mclogit)
S3method(print,mmclogit)
S3method(vcov,mmclogit)
S3method(summary,mmclogit)
S3method(print,summary.mmclogit)
S3method(print,mblogit)
S3method(summary,mblogit)
S3method(print,summary.mblogit)
S3method(fitted,mblogit)
S3method(predict,mblogit)
S3method(weights,mblogit)
S3method(print,mmblogit)
S3method(summary,mmblogit)
S3method(print,summary.mmblogit)
export(dispersion)
S3method(dispersion,mclogit)
S3method(getSummary,mclogit)
S3method(getSummary,mblogit)
S3method(getSummary,mmclogit)
S3method(getSummary,mmblogit)
S3method(simulate,mclogit)
S3method(simulate,mblogit)
S3method(simulate,mmclogit)
S3method(simulate,mmblogit)
S3method(predict,mmblogit)
S3method(predict,mmclogit)
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