Man pages for posterior
Tools for Working with Posterior Distributions

as_rvarCoerce to a random variable
as_rvar_factorCoerce to a factor random variable
autocorrelationAutocorrelation estimates
autocovarianceAutocovariance estimates
bind_drawsBind 'draws' objects together
chol.rvarCholesky decomposition of random matrix
diagnosticsList of available convergence diagnostics
diag-rvar-methodMatrix diagonals (including for random variables)
dissentDissention
drawsTransform to 'draws' objects
draws_arrayThe 'draws_array' format
draws_dfThe 'draws_df' format
draws-indexIndex 'draws' objects
draws_listThe 'draws_list' format
draws_matrixThe 'draws_matrix' format
draws_ofGet/set array of draws underlying a random variable
draws_rvarsThe 'draws_rvars' format
draws_summarySummaries of 'draws' objects
drop-rvar-methodDrop redundant dimensions
entropyNormalized entropy
ess_basicBasic version of the effective sample size
ess_bulkBulk effective sample size (bulk-ESS)
ess_meanEffective sample size for the mean
ess_quantileEffective sample sizes for quantiles
ess_sdEffective sample size for the standard deviation
ess_tailTail effective sample size (tail-ESS)
example_drawsExample 'draws' objects
extract_variableExtract draws of a single variable
extract_variable_arrayExtract array of a single (possibly indexed) variable
extract_variable_matrixExtract matrix of a single variable
for_each_drawLoop over draws
is_rvarIs 'x' a random variable?
is_rvar_factorIs 'x' a factor random variable?
matchValue Matching
mcse_meanMonte Carlo standard error for the mean
mcse_quantileMonte Carlo standard error for quantiles
mcse_sdMonte Carlo standard error for the standard deviation
merge_chainsMerge chains of 'draws' objects
modal_categoryModal category
mutate_variablesMutate variables in 'draws' objects
order_drawsOrder 'draws' objects
pareto_diagsPareto smoothing diagnostics
pareto_khatPareto khat diagnostic
pareto_smoothPareto smoothing
posterior-packageTools for working with posterior (and prior) distributions
print.draws_arrayPrint 'draws_array' objects
print.draws_dfPrint 'draws_df' objects
print.draws_listPrint 'draws_list' objects
print.draws_matrixPrint 'draws_matrix' objects
print.draws_rvarsPrint 'draws_rvars' objects
print.draws_summaryPrint summaries of 'draws' objects
print.rvarPrint or format a random variable
ps_convergence_ratePareto convergence rate
ps_khat_thresholdPareto k-hat threshold
ps_min_ssPareto-smoothing minimum sample-size
ps_tail_lengthPareto tail length
quantile2Compute Quantiles
rdoExecute expressions of random variables
reexportsObjects exported from other packages
rename_variablesRename variables in 'draws' objects
repair_drawsRepair indices of 'draws' objects
resample_drawsResample 'draws' objects
reserved_variablesReserved variables
rfunCreate functions of random variables
rhatRhat convergence diagnostic
rhat_basicBasic version of the Rhat convergence diagnostic
rhat_nestedNested Rhat convergence diagnostic
r_scaleRank values
rstarCalculate R* convergence diagnostic
rvarRandom variables of arbitrary dimension
rvar_applyRandom variable resulting from a function applied over...
rvar-distDensity, CDF, and quantile functions of random variables
rvar_factorFactor random variables of arbitrary dimension
rvar_ifelseRandom variable ifelse
rvar_is_finiteSpecial value predicates for random variables
rvar-matmultMatrix multiplication of random variables
rvar_rngCreate random variables from existing random number...
rvar-sliceRandom variable slicing
rvar-summaries-over-drawsSummaries of random variables within array elements, over...
rvar-summaries-within-drawsSummaries of random variables over array elements, within...
split_chainsSplit Chains
sub-.draws_arrayExtract parts of a 'draws_array' object
sub-.draws_matrixExtract parts of a 'draws_matrix' object
subset_drawsSubset 'draws' objects
thin_drawsThin 'draws' objects
u_scaleRank uniformization
variablesGet variable names from 'draws' objects
variables-setSet variable names in 'draws' objects
weight_drawsWeight 'draws' objects
weights.drawsExtract Weights from Draws Objects
z_scaleRank normalization
posterior documentation built on July 4, 2024, 1:07 a.m.