Docstring improvements

Co-authored-by: Markus Hauru <markus@mhauru.org>

Author: penelopeysm

src/model.jl

@@ -873,10 +873,10 @@ end
 
 Evaluate the `model` and replace the values of the model's random variables
 in the given `varinfo` with new values, using a specified initialisation strategy.
-If the values in `varinfo` are not set, they will be added.
+If the values in `varinfo` are not set, they will be added
 using a specified initialisation strategy.
 
-If `init_strategy` is not provided, defaults to InitFromPrior().
+If `init_strategy` is not provided, defaults to `InitFromPrior()`.
 
 Returns a tuple of the model's return value, plus the updated `varinfo` object.
 """

src/sampler.jl

@@ -41,7 +41,7 @@ Generic sampler type for inference algorithms of type `T` in DynamicPPL.
 provided that supports resuming sampling from a previous state and setting initial
 parameter values. It requires to overload [`loadstate`](@ref) and [`initialstep`](@ref)
 for loading previous states and actually performing the initial sampling step,
-respectively. Additionally, sometimes one might want to implement [`init_strategy`](@ref)
+respectively. Additionally, sometimes one might want to implement an [`init_strategy`](@ref)
 that specifies how the initial parameter values are sampled if they are not provided.
 By default, values are sampled from the prior.
 """