-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathNAMESPACE
92 lines (79 loc) · 2.97 KB
/
NAMESPACE
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
# functions to be exported
export(
# core functions and aliases
createAlgorithm, monanAlgorithmCreate,
createEdgelist, monanDependent,
createEffectsObject, createEffects, addEffect, addFixedEffects, addDummyEffects,
createNetwork, dyadicCovar,
createNodeSet, monanNodes, monanEdges,
createNodeVariable, monadicCovar,
createProcessState, monanDataCreate,
createWeightedCache,
estimateMobilityNetwork, estimateDistributionNetwork, monan07, monanEstimate,
simulateMobilityNetworks, simulateDistributionNetworks, monanSimulate,
# auxiliary functions
autoCorrelationTest, extractTraces,
getMultinomialStatistics,
gofDistributionNetwork, gofMobilityNetwork, monanGOF,
plot.gof.stats.monan,
plot.traces.monan, print.result.monan, print.scoretest.monan, scoreTest,
print.processState.monan, print.effectsList.monan,
# test functions
target_change_match,
test_effect,
# effect functions: exogenous
alter_covariate, dyadic_covariate,
dyadic_covariate_resource_attribute,
resource_covar_to_node_covar,
same_covariate, sim_covariate,
# effect functions: loops
loops, loops_GW, loops_AC,
loops_node_covar,
loops_resource_covar_node_covar, loops_resource_covar,
loops_additional_origin,
loops_x_loops_additional_origin,
# effect functions: concentration
concentration_basic,
concentration_AC, concentration_AC_dyad_covar,
concentration_AC_resource_covar_bin,
concentration_GW, concentration_GW_dyad_covar,
concentration_GW_resource_covar_bin,
concentration_prop, concentration_prop_orig_cov, concentration_rankGW,
concentration_basic_squared,
concentration_norm,
concentration_norm_squared,
# effect functions: reciprocity
reciprocity_basic,
reciprocity_min, reciprocity_min_resource_covar, reciprocity_min_dyad_covar,
reciprocity_GW, reciprocity_GW_dyad_covar_bin, reciprocity_GW_dyad_covar,
reciprocity_AC, reciprocity_AC_dyad_covar_bin, reciprocity_AC_dyad_covar,
# effect functions: transitivity
transitivity_basic, transitivity_min, transitivity_netflow,
transitivity_GW,
transitivity_AC,
triad120D, triad120U, triad120C,
# effect functions: endogeneous covariate based
crowding_out_prop_covar_bin, staying_by_prop_bin_inflow,
joining_similar_avoiding_dissimilar_covar_bin,
joining_similar_avoiding_dissimilar_covar_cont,
avoiding_dissimilar_covar_bin,
avoiding_dissimilar_covar_cont,
# effect functions: other
in_ties_loops, in_weights_exponent,
in_weights_GW,
in_weights_AC,
present_relations,
# gof param functions
getIndegree, getTieWeights
)
importFrom("graphics", "boxplot", "lines")
importFrom("stats", "as.formula", "ecdf", "pnorm", "runif", "sd", "dist")
importFrom("methods", "is")
importFrom("snowfall", "sfInit", "sfExport", "sfLapply", "sfLibrary", "sfStop")
# S3 methods
S3method(print, result.monan)
S3method(plot, traces.monan)
S3method(plot, gof.stats.monan)
S3method(print, scoretest.monan)
S3method(print, processState.monan)
S3method(print, effectsList.monan)