# Tag Info

Accepted

### Difference between ZIP and ZIP2

There's more details in the freely available older version of the gamlss book (section 18.2.11-12). The regular Poisson model is parametrized through a mean $\mu$, ...
Accepted

### How to compare centiles from different models?

Some of the deviations you point to can be due to random variation alone. There are simple ways to test them. When there are independent observations of a variable whose conditional distributions ...

### How to interpret the p-value associated with the intercept?

I want to establish which interactions of levels of factors are significantly different from the intercept. You will get into trouble if you only depend on the coefficients and p values displayed ...
Accepted

### Interpreting predict() with gamlss() and beta-binomial family=BB

I emailed the primary creator of the gamlss package, Professor Mikis Stasinopoulos, and he was very kind to provide an extensive explanation and correction to my ...
1 vote

### GAMLSS: What exactly is the predicted or fitted sigma? why can't I use it to calculate z-score?

In GAMLSS sigma is generally a scale parameter, but not usually the standard deviation. If you want the z-score for any distribution, then it is given by: first find the probability p of being below ...
1 vote
Accepted

### Standard errors in GAMLSS vs LMER

The standard errors of the gamlss are conditioned on the values of the random component. The lmer standard errors integrate out ...
1 vote
Accepted

### Find the more appropriate fit by using term.plot in GAMLSS

Selecting the best model can be (i) by choosing the fitted model with lowest generalized Akaike information criterion GAIC(k) for a user chosen penalty k for each effective degree of freedom in the ...
1 vote
Accepted

### qBCCGo function in GAMLSS package (quantile function)

qBCCGo is exact, so use that. [Note the formula for LLN is approximate and log(1-1.645 * nu * sigma) will be NA, if 1 < 1.645 * nu * sigma.] Yes, for calculating the ULN we need to use qBCCGo(0.05, ...
1 vote

### qBCCGo function in GAMLSS package (quantile function)

mu=0.8 nu=1.1 sigma=0.4 qBCCGo(0.05, mu = mu, sigma = sigma, nu = nu, lower.tail = TRUE, log.p = FALSE) gives an exact result. However exp(log(mu)+log(1-1.645nusigma)/nu) is an approximation. The ...

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