fit_ma_normal: Find the maximum liklihood estimate of paramaters in MA model
In dwinter/dfe: Distributions of Fitness Effects from new mutations

Find the maximum liklihood estimate of paramaters in MA model

1	fit_ma_normal(obs, fixed = NULL, starts = NULL, verbose = TRUE)

`obs`	observed fitness values
`fixed`	named list of model paramater values to fix
`starts`	named list of starting values of varying parameters
`verbose`	logical, be verbose

mle fit object

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set.seed(123)
w <- rma_normal(20, 0.1, 0.01, 0.01, 1)
fit_ma_normal(w, fixed=list(Ve=0.01), starts=list(a=0.01))

dwinter/dfe documentation built on May 15, 2019, 6:21 p.m.

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