Description Usage Arguments Details Value Note Examples

Fit a factor model of dimension *d* for binomial data. Returns
logistic factors.

1 |

`X` |
a matrix of SNP genotypes, i.e. an integer matrix of 0's, 1's, and 2's. Sparse matrices of class Matrix are not supported (yet). |

`d` |
number of logistic factors, including the intercept |

`adjustments` |
a matrix of adjustment variables to hold fixed during estimation. |

`override` |
optional boolean to bypass Lanczos bidiagonalization SVD. Usually not advised unless encountering a bug in the SVD code. |

`safety` |
optional boolean to bypass checks on the genotype matrices, which require a non-trivial amount of computation. |

This function performs logistic factor analysis on SNP data. As it
stands, we follow the convention where *d=1* is intercept only,
and for *d>1* we compute *d-1* singular vectors and postpend
the intercept.

matrix of logistic factors, with the intercept at the end.

Genotype matrix is expected to be a matrix of integers with values 0, 1, and 2. Note that the coding of the SNPs does not affect the algorithm.

1 2 3 | ```
LF <- lfa(hgdp_subset, 4)
dim(LF)
head(LF)
``` |

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