Simulate var(beta)

simulated_vbeta(N0, N1, snps, W, gamma.W, freq, GenoProbList = make_GenoProbList(snps = snps, W = W, freq = freq), nrep = 1)

N0 | The number of Y=0 |
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N1 | The number of Y=1 |

snps | The snps at which we wish to compute the expected Z Score |

W | The true causal SNPs (these need not be in "snps") |

gamma.W | The log odds ratios of effect of the true causal SNPs (not including gamma0, the intercept term) |

freq | Haplotype frequencies as a data.frame, with column Probability indicating relative frequency in controls. |

GenoProbList | An list of objects giving the probability of seeing each X,W genotype vector. This can be calculated within the function if no value supplied, or you can pass a pre-calculated version |

nrep | Number of replicates (simulated vectors of Z scores) under this scenario. Default=1 |

A simulated variance of beta for each SNP X, assuming the causal SNPs are W

Assumes we have a list, GenoProbList, giving the GenoProb values for each X.

freq=fake_freq(nhaps=100,nsnps=5) # fake haplotype frequency data VB=simulated_vbeta(N0=1000,N1=2000,snps=paste0("s",1:5), W="s1",gamma.W=log(1.5),freq=freq) VB # causal variant is SNP 1, with OR 1.5#> [,1] [,2] [,3] [,4] [,5] #> [1,] 0.003442928 0.003969581 0.003749157 0.003046727 0.002964443