Renaming to fit stocnet conventions

[WylieMabel]

Legacy Structure:
Recent renaming of most functions renamed camel case functions to more clear snake case functions using the keyword make, e.g , defineNodes -> make_nodes

Proposed Solution:
Renaming Goldfish functions to align with stocnet naming conventions.
make_nodes-> as_nodes_goldfish

Next steps:

• Discuss renaming of DyNAM-i methods
• Finalising renaming mapping table detailing all planned renaming

[WylieMabel]

legacy name	proposed names
defineNodes	as_nodes_goldfish
defineNetwork	as_network_goldfish
defineDependentEvents	as_dependent_goldfish
make_data	make_data, make_data_goldfish (same but aliased)
defineGlobalAttribute	as_global_goldfish
defineGroups_interaction	tbd
link events	link_events
estimate_family	make explicit the choice between rate and rate_ordered: without intercept rate: with intercept
examineChangepoints, examineOutliers	examine_changepoints, examine_outliers. Only creates data with a given class, discussed in Issue #115
gather_model_data	gather_model_data

[WylieMabel]

New code will look as follows:
`
# Documentation ----

callNetwork <- as_network_goldfish(nodes = actors, directed = TRUE) |>
link_events(change_event = calls, nodes = actors)

states <- as_nodes_goldfish(states) |>
link_events(sovchanges, attribute = "present") |>
link_events(regchanges, attribute = "regime") |>
link_events(gdpchanges, attribute = "gdp")

# tbd on renaming
groupInteract <- defineGroups_interaction(
video,
participants,
seed_randomization = 1
)

callsDependent <- as_dependent_goldfish(
events = calls,
nodes = actors,
default_network = callNetwork
)

# alternatively (to the same effect) make_data_goldfish
modelData <- make_data(
callNetwork,
callsDependent
)

mod00Rate <- estimate_dynam(
callsDependent ~ indeg + outdeg,
sub_model = "rate",
data = modelData
)
mod00Choice <- estimate_dynam(
callsDependent ~ inertia + recip * trans,
sub_model = "choice",
data = modelData
)
mod00Coord <- estimate_dynam(
createBilat ~
inertia(bilatnet) +
indeg(bilatnet, ignoreRep = TRUE) +
trans(bilatnet, ignoreRep = TRUE),
sub_model = "choice_coordination",
data = modelData
)

mod00Rem <- estimate_rem(
callsDependent ~ 1 + indeg + outdeg + inertia + recip * trans,
data = modelData
)

# interaction models will have separate discussion
mod00irate <- estimate_dynami(
dependent.events ~
1 +
intercept(network.interactions, joining = 1) +
ego(actors$age, joining = 1, subType = "centered") +
ego(actors$age, joining = -1, subType = "centered") +
diff(actors$age, joining = -1, subType = "averaged_sum"),
sub_model = "rate",
data = modelData
)

# diagnostic functions ----
examine_outliers(tieModel)
examine_changepoints(tieModel)
`