View source: R/fit_functions.R

logLik_o | R Documentation |

Returns the log-likelihood as calculated from the orthogonal residuals obtained by `residuals_o`

.

logLik_o(object)

`object` |
an object returned from |

The log-likelihood as calculated from the orthogonal residuals.

`logLik_o`

has no other generic functions on top, so for calculating `AIC`

, one has to apply `AIC(logLik_o(model))`

, see 'Examples'. The usual `logLik`

applies to the vertical residuals of the orthogonal model.

Andrej-Nikolai Spiess

DNase1 <- subset(DNase, Run == 1) DNase1$density <- sapply(DNase1$density, function(x) rnorm(1, x, 0.1 * x)) mod <- onls(density ~ Asym/(1 + exp((xmid - log(conc))/scal)), data = DNase1, start = list(Asym = 3, xmid = 0, scal = 1)) logLik_o(mod) ## compare AIC of vertical versus orthogonal residuals. AIC(mod) AIC(logLik_o(mod))

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