Added weibull prior in the manual.
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@ -4537,7 +4537,7 @@ likelihood estimation. In a Bayesian estimation context, sets a lower bound
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only effective while maximizing the posterior kernel. This lower bound does not
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modify the shape of the prior density, and is only aimed at helping the
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optimizer in identifying the posterior mode (no consequences for the MCMC). For
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some prior densities (namely inverse gamma, gamma, uniform or beta) it is
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some prior densities (namely inverse gamma, gamma, uniform, beta or weibull) it is
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possible to shift the support of the prior distributions to the left or the right using
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@ref{prior_3rd_parameter}. In this case the prior density is effectively
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modified (note that the truncated Gaussian density is not implemented in
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@ -4552,7 +4552,7 @@ A keyword specifying the shape of the prior density.
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The possible values are: @code{beta_pdf},
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@code{gamma_pdf}, @code{normal_pdf},
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@code{uniform_pdf}, @code{inv_gamma_pdf},
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@code{inv_gamma1_pdf}, @code{inv_gamma2_pdf}. Note
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@code{inv_gamma1_pdf}, @code{inv_gamma2_pdf} and @code{weibull_pdf}. Note
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that @code{inv_gamma_pdf} is equivalent to
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@code{inv_gamma1_pdf}
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@ -4565,7 +4565,7 @@ that @code{inv_gamma_pdf} is equivalent to
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@item @var{PRIOR_3RD_PARAMETER}
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@anchor{prior_3rd_parameter}
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A third parameter of the prior used for generalized beta distribution,
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generalized gamma and for the uniform distribution. Default: @code{0}
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generalized gamma, generalized weibull and for the uniform distribution. Default: @code{0}
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@item @var{PRIOR_4TH_PARAMETER}
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@anchor{prior_4th_parameter}
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