
useDynLib(miceadds)

#############################
## exports
export(
    datalist2mids ,
    draw.pv.ctt ,
#    imptrun1.mice ,
    mi.anova ,
    mice.impute.2l.contextual.norm ,
    mice.impute.2l.contextual.pmm , 
    mice.impute.2l.groupmean.elim , 
    mice.impute.2l.groupmean , 
    mice.impute.2l.latentgroupmean ,
    mice.impute.2l.plausible.values ,
#    mice.impute.distance.matching ,
#    mice.impute.midas.pmm ,
    mice.impute.pmm3 , 
    mice.impute.pmm4 ,  
    mice.impute.pmm5 ,  
    mice.impute.pmm6 ,     
#    mice.impute.norm3 , 
    mice.impute.tricube.pmm , 
    mice.impute.tricube.pmm2 , 
    mice.impute.weighted.norm ,
    mice.impute.weighted.pmm ,
    micombine.chisquare ,
    micombine.cor ,
    micombine.F ,
    pca.covridge ,
    Rhat.mice ,
    tw.imputation ,
    tw.mcmc.imputation ,
    write.mice.imputation ,
    kernelpls.fit2 ,
    write.pspp ,
    fast.groupmean ,
    mice.impute.2l.pls ,
    mice.impute.2l.pls2 ,
    fast.groupsum,
    ma.scale2 ,
    mice.1chain ,
    mice.impute.2l.eap ,
    mids2datlist  ,
    mice.impute.2lonly.norm2 ,
    mice.impute.2lonly.pmm2 ,
    str_C.expand.grid   ,
    crlrem ,
    cxxfunction.copy , 
    grep.vec , 
    index.dataframe , 
    load.Rdata , 
    save.Rdata , 
    output.format1 , 
    Reval , 
    round2 , 
    Rsessinfo , 
    scan.vec ,
    scan.vector , 
    source.all , 
    systime ,
    Revalpr ,
    Revalprstr  ,
    sumpreserving.rounding   ,
    ma.wtd.covNA , 
    ma.wtd.corNA ,     
    ma.wtd.meanNA , 
    ma.wtd.sdNA   ,
    load.Rdata2 ,
    load.data ,
    save.data,
    visitSequence.determine ,
    mice.nmi ,
    complete.mids.nmi ,
    complete.mids.1chain ,
    pool.mids.nmi,
    within.imputationList ,
    lm.cluster ,
    glm.cluster,
    NestedImputationList ,
    MIcombine.NestedImputationResultList
        )

###################################
# S3 methods



#-- coef
S3method(coef, lm.cluster)
S3method(coef, glm.cluster)
S3method(coef, mipo.nmi)


#-- MIcombine
S3method(MIcombine,NestedImputationResultList)


#-- predict
S3method(predict,kernelpls.fit2)


#-- plot
S3method(plot, mids.1chain)


#-- summary
S3method(summary, mids.1chain)
S3method(summary, mids.nmi)
S3method(summary, mira.nmi)
S3method(summary, mipo.nmi)
S3method(summary, lm.cluster)
S3method(summary, glm.cluster)


#-- vcov
S3method(vcov, lm.cluster)
S3method(vcov, glm.cluster)
S3method(vcov, mipo.nmi)


#-- with
S3method(with, mids.1chain)
S3method(with, mids.nmi)
S3method(with, NestedImputationList)


#-- within
S3method(within, imputationList)
S3method(within, NestedImputationList)


###################################
## imports
import(sirt)
import(lme4)
importFrom(MBESS,ci.reliability)
import(pls)
import(mitools)
import(pan)
import(MASS)
import(mice)
import(mvtnorm)
importFrom(bayesm,rtrun)
importFrom(Rcpp,evalCpp)
import(inline)
importFrom(car,Anova)
importFrom(foreign,read.spss)
import(TAM)
importFrom(sjmisc,write_spss)
importFrom(sjmisc,set_var_labels)
importFrom(multiwayvcov,cluster.vcov)