config_example_contattr.txt

##############################################################################
#
# example setting file for EstimNetDirected
#
#   note parameter and attribute names are not case sensitive (but filenames are)
#

################## Algorithm constants #######################################

useIFDsampler = True

useBorisenkoUpdate = true # use the Borisenko et al. (2019) update algorithm

samplerSteps= 1000 # sampler iterations (per algorithm step)
 
Ssteps =50 # steps of Algorithm S 


EEsteps= 500 # steps of Algorithm EE. 
              # At each of these outer iterations, the theta step size
              # is adjusted (according to compC) to limit the variance
              # of the theta values.
              
EEinnerSteps = 100 # inner iterations of Algorithm EE

outputSimulatedNetwork = True  # write the simulated network to file

computeStats = True # compute observed sufficient statistics

################## Input filenames ###########################################


# Network in Pajek arc list format. In the Pajek format *vertices at
# top, then followed by one line for each vertex (just vertex number)
# [note this part is optional for EstimeNetDirected] then *arcs
# followed by arcs list one per line.

arclistFile = sample_statistics_n2000_directed_cont_sim7920000000.txt

# Attribute files
# binattr_file for binary attributes (0 or 1 only)
# catattr_file for categorical attributes (any integer)
# The format of the file is a header line with whitespace
# delimited attribute names, and each subsequent line
# the attribute values for each attribute.
# The first line (after the header) has the values for
# node 0, then the next line node 1, and so on.
# 
# E.g.:
#
# gender class
# 0      1
# 1      2
# 1      3

#binattrFile = ../pythonDemo/binaryAttributes_50_50_n1000.txt
#catattrFile = 
contattrFile =  continuousAttributes_n2000.txt

################## Output filenames ##########################################

#
# Output filenames are constructed from the prefix specified here,
# with _<rank>.txt added, where <rank> is the MPI rank (task number).
# So e.g. if thetaFilePrefix = theta then the output files are theta_0.txt etc.
#

# Theta (estimated parameter) values output file prefix

thetaFilePrefix = theta_sim_n2000_cont_sample

# dzA (statistics deltas, which should osciallate about zero at equilibrium)
# values output file prefix 

dzAFilePrefix = dzA_sim_n2000_cont_sample

# Pajek .net file prefix for simulatd network at the end of the EE MCMC process.
simNetFilePrefix = sim_sim_n2000_cont_sample

# prefix for observed network statistics

observedStatsFilePrefix = obs_stats_n2000_cont_sample

################## Parameters to estimate ####################################

#
# Structural parameters
#

structParams = { Reciprocity,AltInStars, AltOutStars, AltKTrianglesT, 
                 AltTwoPathsTD }

#
# Attribute parameters
#

attrParams = {Diff(continuousAttribute), DiffReciprocity(continuousAttribute)}