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bayesTFR (version 4.2-0)

Bayesian Fertility Projection

Description

Making probabilistic projections of total fertility rate for all countries of the world, using a Bayesian hierarchical model.

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Version

Install

install.packages('bayesTFR')

Monthly Downloads

1,003

Version

4.2-0

License

GPL (>= 2)

Maintainer

Hana Sevcikova

Last Published

July 10th, 2015

Functions in bayesTFR (4.2-0)

UN_time

Dataset with UN-specific Time Coding
include

Inclusion Codes
convert.tfr.trajectories

Converting TFR Trajectories into ACSII Files
coda.list.mcmc

Convertion to coda's Objects
summary.bayesTFR.convergence

Summary of a TFR Convergence Object
country.names

Accessing Country Names
tfr.median.set

Editing Medians of the Projection
get.tfr.convergence

Accessing a Convergence Object
summary.bayesTFR.mcmc.set

Summary Statistics for TFR Markov Chain Monte Carlo Chains
bayesTFR.mcmc.meta

MCMC Simulation Meta Object
tfr.predict.extra

Generating Posterior Trajectories of the Total Fertility Rate for Specific Countries or Regions
tfr.parameter.names

Accessing Parameter Names
summary.bayesTFR.prediction

Summary of a Prediction of the Total Fertility Rate
tfr.predict

Generating Posterior Trajectories of the Total Fertility Rate
get.total.iterations

Total Number of Iterations
tfr.diagnose

Convergence Diagnostics of TFR Markov Chain Monte Carlo
run.tfr3.mcmc

Running Markov Chain Monte Carlo for Parameters of Total Fertility Rate in Phase III
bayesTFR-package

Bayesian Fertility Projection
tfr.pardensity.plot

Plotting MCMC Parameter Density
get.tfr.trajectories

Accessing TFR Trajectories
get.cov.gammas

Covariance Matrices of Gamma Parameters
bayesTFR.mcmc

MCMC Simulation Object
tfr.raftery.diag

Raftery Diagnostics for Parameters of the Total Fertility Rate
tfr.map

TFR World Map
get.country.object

Accessing Country Information
tfr.partraces.plot

Plotting MCMC Parameter Traces
get.tfr.parameter.traces

Accessing MCMC Parameter Traces
UN_variants

Dataset with UN-specific Coding of Variants
get.thinned.tfr.mcmc

Creating and Accessing Thinned MCMCs
tfr.dl.coverage

Goodness of Fit of the Double Logistic Function
get.tfr.prediction

Accessing a Prediction Object
DLcurve.plot

Plotting Posterior Distribution of the Double Logistic Function
bayesTFR-internal

Internal Functions and datasets of bayesTFR
get.tfr.mcmc

Accessing MCMC Results
run.tfr.mcmc

Running Markov Chain Monte Carlo for Parameters of Total Fertility Rate in Phase II
tfr.trajectories.plot

Output of Posterior Distribution of TFR Trajectories
run.tfr.mcmc.extra

Run MCMC for Extra Countries, Areas or Regions
write.projection.summary

Writing Projection Summary Files