Comments (1)
I think the problem are actually quantile
and invlogcdf
here. For Geometric
they should always return an Int
. For other distributions (and in particular discrete distributions) typically we ensure that the return type of quantile
etc. and the type of the variates match. For instance, for discrete distributions where such calculations are performed with StatsFuns/Rmath we explicitly convert the result to Int
.
from distributions.jl.
Related Issues (20)
- StackOverflowError with rand! HOT 3
- Misuse of `Base.minimum` and `Base.maximum`?
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- Document Thread Safety
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- `DiscreteNonParametric` and `Categorical` Construction Issue
- Infinite loop for quantile of InverseGaussian for specific value HOT 3
- Reduce the dimension of a Multivariate distribution by using a partial observation. HOT 1
- Characteristic function for Univariate Mixtures
- ERROR: MethodError: no method matching JointOrderStatistics(::DiscreteNonParametric{Float64, Float64, Vector{Float64}, Vector{Float64}}, ::Int64) HOT 2
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- No characteristic function of MvNormal HOT 2
- installation warning/error about DistributionsTestExt (not) precompiling HOT 1
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- `0 <= cdf(Normal(),x) <= 1` not always true. HOT 4
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from distributions.jl.