Description Usage Arguments Value Examples

Estimate correlation coefficient parameter(s) and the corresponding standard error(s) in the multivariate lognormal distribution. The correlation can be either common to all genes or cluster specific (the genes in each cluster share a common correlation).

1 |

`d` |
This is a PLNseq object. |

`d$rho` |
Correlation coefficient ‘rho’ in the multivariate lognormal distribution |

`d$rho.se` |
Standard error of estimated ‘rho’ |

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | ```
data(lung);
count = lung[,c(2:4,8:10)];
d = PLNobject(count,2);
d = sizeFactor(d,maxCount=2e3);
d = commonSigma(d);
## common correlation
## d$commonCorrelation = TRUE;
## d = correlationCoefficient(d);
## clustered correlation
## d$commonCorrelation = FALSE;
## J = nrow(count);
## J1 = round(J/2);
## d$cluster = c(rep(1,J1),rep(2,J-J1));
## d = correlationCoefficient(d);
``` |

zhanghfd/PLNseq documentation built on May 4, 2019, 10:16 p.m.

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