R: Find the Best Solution of phyclust

find.best {phyclust} | R Documentation

## Find the Best Solution of phyclust

### Description

Based on input initialization procedures and methods, this function tries to find the best solution in terms of the highest log-likelihood value.

### Usage

    find.best(X, K, EMC = .EMC, manual.id = NULL, byrow = TRUE,
        init.procedure = .init.procedure, init.method = .init.method,
        file.tmp = NULL, visible = FALSE, save.all = FALSE)

### Arguments

`X` | nid/sid matrix with N rows/sequences and L columns/sites.
`K` | number of clusters.
`EMC` | EM control.
`manual.id` | manually input class ids.
`byrow` | advanced option for `X`, default = TRUE.
`init.procedure` | customized initialization procedures.
`init.method` | customized initialization methods.
`file.tmp` | a file for saving temporary results.
`visible` | TRUE for reporting iterations.
`save.all` | TRUE for saving all results.

### Details

`X` should be a numerical matrix containing sequence data that can be transfered by `code2nid` or `code2sid`.

Note: gaps `-` are not supported yet, drop them from data.

`EMC` contains all options used for EM algorithms.

`manual.id` manually input class ids as an initialization only for the initialization method, 'manualMu'.

`byrow` used in bootstraps to avoid transposing matrix 'X'. If FALSE, then the 'X' should be have the dimension L*K.

`init.procedure` and `init.method` are methods for searching the best result. This function will try all combinations of these two options.

`file.tmp` is used to save temporary results due to long computing. If `NULL`, there will no saving in each combinations.

### Value

An list with class `phyclust` will be returned containing several elements, see `phyclust` for detail.

### ToDo(s)

- implement codes for gaps `-`.

### Author(s)

Wei-Chen Chen wccsnow@gmail.com

### References

Phylogenetic Clustering Website: https://snoweye.github.io/phyclust/

### See Also

`.EMC`, `.EMControl`. `phyclust`.

### Examples

    ## Not run:
    library(phyclust, quiet = TRUE)

    set.seed(1234)
    EMC.1 <- .EMControl(exhaust.iter = 1, short.iter = 5, EM.iter = 5)
    (ret.1 <- find.best(seq.data.toy$org, 2, EMC = EMC.1))

    ## End(Not run)

[Package phyclust version 0.1-30 Index]