emgGaussian_minpack.lm_objectiveFun: Exponentially Modified Gaussian minpack.lm objective function
In peakPantheR: Peak Picking and Annotation of High Resolution Experiments

Exponentially Modified Gaussian (EMG) minpack.lm objective function, calculates residuals using the EMG Peak Shape

1	emgGaussian_minpack.lm_objectiveFun(params, observed, xx)

`params`	(list) exponentially modified gaussian parameters (`params$gamma`, `params$center`, `params$sigma`, `params$amplitude`)
`observed`	(numeric) observed y value at xx
`xx`	(numeric) value at which to evalute the exponentially modified gaussian

difference between observed and expected exponentially modified gaussian value evaluated at xx

peakPantheR documentation built on Nov. 8, 2020, 6:38 p.m.

peakPantheR index

Note that we can't provide technical support on individual packages. You should contact the package authors for that.

Description