Response Distribution
This sections lists the response distributions supported by the TraitSimulation module.
ResponseDistribution
ResponseDistribution is an abstract type. It’s the super type of each specific response distribution listed below. All sub types of ResponseDistribution have constructors of the form [distribution type](...). Parameter(s) passed to the constructor of each ResponseDistribution are specific to the type of the distribution.
ResponseDistributionType
ResponseDistributionType is a type alias for a single response distribution or a vector of response distributions.
NormalResponse
Constructs a normal response type, through NormalResponse(σ), where σ is the standard deviation of the normal distribution.
BinomialResponse
Constructs a binomial response type, through BinomialResponse(n), where n is the number of trials in the binomial distribution.
TResponse
Constructs a T response type, through TResponse(ν), where ν is the degrees of freedom. The simulated trait is a shifted (by $\mu$) version of T response.
GammaResponse
Constructs a Gamma response type, through GammaResponse(α), where α is the shape parameter.
InverseGaussianResponse
Constructs an inverse Gaussian response, through InverseGaussianResponse(λ) where λ is the shape parameter.
PoissonResponse
Constructs a Poisson response, through Poisson().
ExponentialResponse
Constructs an exponential response, through ExponentialResponse().
BernoulliResponse
Constructs a Bernoulli response, through Bernoulli().
DirectResponse
Directly output the mean, without imposing any distribution.