diff --git a/Project.toml b/Project.toml
index c01ff791..2625a7c6 100644
--- a/Project.toml
+++ b/Project.toml
@@ -1,7 +1,7 @@
 name = "AbstractGPs"
 uuid = "99985d1d-32ba-4be9-9821-2ec096f28918"
 authors = ["JuliaGaussianProcesses Team"]
-version = "0.5.3"
+version = "0.6.0"
 
 [deps]
 ChainRulesCore = "d360d2e6-b24c-11e9-a2a3-2a2ae2dbcce4"
diff --git a/docs/Project.toml b/docs/Project.toml
index 5667f86a..6cd49f57 100644
--- a/docs/Project.toml
+++ b/docs/Project.toml
@@ -4,5 +4,5 @@ Documenter = "e30172f5-a6a5-5a46-863b-614d45cd2de4"
 Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
 
 [compat]
-AbstractGPs = "0.4, 0.5"
+AbstractGPs = "0.4, 0.5, 0.6"
 Documenter = "0.27"
diff --git a/src/AbstractGPs.jl b/src/AbstractGPs.jl
index 15b3812e..acf03c13 100644
--- a/src/AbstractGPs.jl
+++ b/src/AbstractGPs.jl
@@ -30,7 +30,6 @@ export GP,
     VFE,
     DTC,
     update_posterior,
-    LatentGP,
     ColVecs,
     RowVecs
 
@@ -53,9 +52,6 @@ include("exact_gpr_posterior.jl")
 # Approximate sparse GP inference for Gaussian likelihood.
 include("sparse_approximations.jl")
 
-# LatentGP and LatentFiniteGP objects to accommodate GPs with non-Gaussian likelihoods.
-include("latent_gp.jl")
-
 # Plotting utilities.
 include("util/plotting.jl")
 
diff --git a/src/latent_gp.jl b/src/latent_gp.jl
deleted file mode 100644
index 27a6a776..00000000
--- a/src/latent_gp.jl
+++ /dev/null
@@ -1,50 +0,0 @@
-"""
-    LatentGP(f<:AbstractGP, lik, Σy)
-
- - `f` is a `AbstractGP`.
- - `lik` is the likelihood function which maps samples from `f` to the
-   corresponding conditional likelihood distributions (i.e., `lik` must return a
-   `Distribution` compatible with the observations).
- - `Σy` is the noise under which the latent GP is "observed"; this represents
-   the jitter used to avoid numeric instability and should generally be small.
-"""
-struct LatentGP{Tf<:AbstractGP,Tlik,TΣy}
-    f::Tf
-    lik::Tlik
-    Σy::TΣy
-end
-
-"""
-    LatentFiniteGP(fx<:FiniteGP, lik)
-
- - `fx` is a `FiniteGP`.
- - `lik` is the likelihood function which maps samples from `f` to the
-   corresponding conditional likelihood distributions (i.e., `lik` must return a
-   `Distribution` compatible with the observations).
-"""
-struct LatentFiniteGP{Tfx<:FiniteGP,Tlik}
-    fx::Tfx
-    lik::Tlik
-end
-
-(lgp::LatentGP)(x) = LatentFiniteGP(lgp.f(x, lgp.Σy), lgp.lik)
-
-Base.length(lgpx::LatentFiniteGP) = length(lgpx.fx)
-
-function Distributions.rand(rng::AbstractRNG, lfgp::LatentFiniteGP)
-    f = rand(rng, lfgp.fx)
-    y = rand(rng, lfgp.lik(f))
-    return (f=f, y=y)
-end
-
-"""
-    logpdf(lfgp::LatentFiniteGP, y::NamedTuple{(:f, :y)})
-
-```math
-    log p(y, f; x)
-```
-The joint log density of the Gaussian process output `f` and observation `y`.
-"""
-function Distributions.logpdf(lfgp::LatentFiniteGP, y::NamedTuple{(:f, :y)})
-    return logpdf(lfgp.fx, y.f) + logpdf(lfgp.lik(y.f), y.y)
-end
diff --git a/test/latent_gp.jl b/test/latent_gp.jl
deleted file mode 100644
index 506dcf92..00000000
--- a/test/latent_gp.jl
+++ /dev/null
@@ -1,19 +0,0 @@
-@testset "latent_gp" begin
-    gp = GP(SqExponentialKernel())
-    x = rand(10)
-    y = rand(10)
-
-    lgp = LatentGP(gp, x -> MvNormal(x, 0.1), 1e-5)
-    @test lgp isa LatentGP
-    @test lgp.f isa AbstractGPs.AbstractGP
-    @test lgp.Σy isa Real
-
-    lfgp = lgp(x)
-    @test lfgp isa AbstractGPs.LatentFiniteGP
-    @test lfgp.fx isa AbstractGPs.FiniteGP
-    @test length(lfgp) == length(x)
-
-    f = rand(10)
-    @test logpdf(lfgp, (f=f, y=y)) isa Real
-    @test rand(lfgp) isa NamedTuple{(:f, :y)}
-end
diff --git a/test/ppl/Project.toml b/test/ppl/Project.toml
index 11b4c197..7cc5f7e7 100644
--- a/test/ppl/Project.toml
+++ b/test/ppl/Project.toml
@@ -6,7 +6,7 @@ Soss = "8ce77f84-9b61-11e8-39ff-d17a774bf41c"
 Turing = "fce5fe82-541a-59a6-adf8-730c64b5f9a0"
 
 [compat]
-AbstractGPs = "0.5"
+AbstractGPs = "0.6"
 Distributions = "0.24, 0.25"
 SampleChainsDynamicHMC = "0.2, 0.3"
 Soss = "0.19, 0.20"
diff --git a/test/runtests.jl b/test/runtests.jl
index c037ac58..d7232b98 100644
--- a/test/runtests.jl
+++ b/test/runtests.jl
@@ -73,10 +73,6 @@ include("test_util.jl")
         println(" ")
         @info "Ran posterior_gp tests"
 
-        include("latent_gp.jl")
-        println(" ")
-        @info "Ran latent_gp tests"
-
         include("deprecations.jl")
         println(" ")
         @info "Ran deprecation tests"