is.biips() print(<biips>) biips_variable_names(<biips>) variable.names(<biips>) biips_nodes(<biips>) biips_print_dot(<biips>) biips_build_sampler(<biips>)
is.biips()
print(<biips>)
biips_variable_names(<biips>)
variable.names(<biips>)
biips_nodes(<biips>)
biips_print_dot(<biips>)
biips_build_sampler(<biips>)
Manipulate biips model objects.
biips_model()
Create a biips model object described in BUGS language.
biips_pimh_init()
Create a PIMH object.
biips_pmmh_init()
Create PMMH objects
biips_smc_samples()
Run a sequential Monte Carlo algorithm
biips_smc_sensitivity()
Sensitivity analysis of parameters with SMC
biips_add_function() biips_add_distribution()
biips_add_function()
biips_add_distribution()
Add a custom R function or distribution to the BUGS language.
mcmcarray() is.mcmcarray() is.mcmcarray.list() biips_summary(<mcmcarray>) biips_summary(<mcmcarray.list>) biips_table(<mcmcarray>) biips_density(<mcmcarray>) biips_hist() biips_table(<mcmcarray.list>) biips_density(<mcmcarray.list>) summary(<mcmcarray>) summary(<mcmcarray.list>) density(<mcmcarray>) density(<mcmcarray.list>) hist(<mcmcarray>) hist(<mcmcarray.list>)
mcmcarray()
is.mcmcarray()
is.mcmcarray.list()
biips_summary(<mcmcarray>)
biips_summary(<mcmcarray.list>)
biips_table(<mcmcarray>)
biips_density(<mcmcarray>)
biips_hist()
biips_table(<mcmcarray.list>)
biips_density(<mcmcarray.list>)
summary(<mcmcarray>)
summary(<mcmcarray.list>)
density(<mcmcarray>)
density(<mcmcarray.list>)
hist(<mcmcarray>)
hist(<mcmcarray.list>)
Objects for representing MCMC output.
out_pimh
Sample output from biips_pimh_samples
biips_pimh_samples
out_pmmh
Sample output from biips_pmmh_samples
biips_pmmh_samples
out_smc
Sample output from biips_smc_samples
biips_smc_samples
is.pimh() biips_pimh_update(<pimh>) biips_pimh_samples(<pimh>)
is.pimh()
biips_pimh_update(<pimh>)
biips_pimh_samples(<pimh>)
Manipulate PIMH objects.
plot(<density.smcarray.fsb.univariate>) plot(<table.smcarray.fsb.univariate>) plot(<density.smcarray>) plot(<table.smcarray>) plot(<density.smcarray.fsb>) plot(<table.smcarray.fsb>) plot(<density.smcarray.fsb.list>) plot(<table.smcarray.fsb.list>) plot(<table.mcmcarray>) plot(<density.mcmcarray.univariate>) plot(<density.mcmcarray>) plot(<histogram.mcmcarray>) plot(<table.mcmcarray.list>) plot(<density.mcmcarray.list>) plot(<histogram.mcmcarray.list>)
plot(<density.smcarray.fsb.univariate>)
plot(<table.smcarray.fsb.univariate>)
plot(<density.smcarray>)
plot(<table.smcarray>)
plot(<density.smcarray.fsb>)
plot(<table.smcarray.fsb>)
plot(<density.smcarray.fsb.list>)
plot(<table.smcarray.fsb.list>)
plot(<table.mcmcarray>)
plot(<density.mcmcarray.univariate>)
plot(<density.mcmcarray>)
plot(<histogram.mcmcarray>)
plot(<table.mcmcarray.list>)
plot(<density.mcmcarray.list>)
plot(<histogram.mcmcarray.list>)
Plot methods.
is.pmmh() biips_pmmh_update(<pmmh>) biips_pmmh_samples(<pmmh>)
is.pmmh()
biips_pmmh_update(<pmmh>)
biips_pmmh_samples(<pmmh>)
Manipulate PMMH objects.
rbiips-package
Bayesian inference with interacting particle systems
is.smcarray() is.smcarray.fsb() is.smcarray.fsb.list() biips_diagnosis() biips_summary() biips_table() biips_density() summary(<smcarray>) summary(<smcarray.fsb>) summary(<smcarray.fsb.list>) density(<smcarray>) density(<smcarray.fsb>) density(<smcarray.fsb.list>)
is.smcarray()
is.smcarray.fsb()
is.smcarray.fsb.list()
biips_diagnosis()
biips_summary()
biips_table()
biips_density()
summary(<smcarray>)
summary(<smcarray.fsb>)
summary(<smcarray.fsb.list>)
density(<smcarray>)
density(<smcarray.fsb>)
density(<smcarray.fsb.list>)
Objects for representing SMC output.