FGCM: Fit logistic growth curve model

In TSDFGS: Training Set Determination for Genomic Selection

Fit logistic growth curve model

Description

A function for fitting logisti growth model

Usage

FGCM(geno, nt = NULL, n_iter = NULL, multi.threads = TRUE)

Arguments

geno	Genotype information saved as a dataframe. Columns represent variants (SNPs or PCs).
nt	A numerical vector of training set sample size for estimating logistic growth curve parameters
n_iter	Number of simulation of each training set size. Automatically gave a suitable number by default.
multi.threads	Default: TRUE. Set as FALSE if you just want to run it by single thread.

Value

Estimation of parameters.

Examples

data(geno)
## Not run: FGCM(geno)

TSDFGS documentation built on June 7, 2022, 5:06 p.m.