data(hypoDat)
example.haplos<-RecodeHaplos(hypoDat,2)
example.newhaplos<-CheckHaplos(example.haplos, 2)
example.regr <- EM(affected ~ gender + age + BMI + n00+ n01 + n11,
example.newhaplos, family=binomial())
# Summarize the results of the function EM
summary.EM(example.regr) # or just summary(example.regr)
# Results:
#$coefficients
# Estimate Std. Error zscore Pr(>|z|)
#(Intercept) -7.49563443 1.48540169 -5.0462003 4.506830e-07
#gender -0.21123481 0.20849812 -1.0131257 3.110001e-01
#age 0.03774116 0.01803805 2.0923083 3.641095e-02
#BMI 0.16280168 0.03890977 4.1840828 2.863198e-05
#n00 -0.24241680 1.24418218 -0.1948403 8.455180e-01
#n01 -0.26860899 0.19322030 -1.3901696 1.644774e-01
#n11 0.42651099 0.17602854 2.4229650 1.539441e-02
#
#$frequencies
# Estimate Std. Error
#f.n00 0.009349114 0.004653122
#f.n01 0.246650886 0.013743345
#f.n10 0.437650886 0.015693892
#f.n11 0.306349114 0.014638656
#
#$dispersion
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