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bayesTFR (version 5.0-1)

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

5.0-1

License

GPL (>= 2)

Maintainer

Hana Sevcikova

Last Published

March 4th, 2016

Functions in bayesTFR (5.0-1)

get.cov.gammas

Covariance Matrices of Gamma Parameters
bayesTFR-internal

Internal Functions and datasets of bayesTFR
get.country.object

Accessing Country Information
get.total.iterations

Total Number of Iterations
UN_time

Dataset with UN-specific Time Coding
summary.bayesTFR.mcmc.set

Summary Statistics for TFR Markov Chain Monte Carlo Chains
tfr.partraces.plot

Plotting MCMC Parameter Traces
tfr.dl.coverage

Goodness of Fit of the Double Logistic Function
include

Inclusion Codes
bayesTFR.mcmc.meta

MCMC Simulation Meta Object
country.names

Accessing Country Names
get.tfr.convergence

Accessing a Convergence Object
summary.bayesTFR.convergence

Summary of a TFR Convergence Object
get.tfr.trajectories

Accessing TFR Trajectories
tfr.parameter.names

Accessing Parameter Names
tfr.predict.extra

Generating Posterior Trajectories of the Total Fertility Rate for Specific Countries or Regions
get.tfr.mcmc

Accessing MCMC Results
DLcurve.plot

Plotting Posterior Distribution of the Double Logistic Function
summary.bayesTFR.prediction

Summary of a Prediction of the Total Fertility Rate
get.tfr.prediction

Accessing a Prediction Object
bayesTFR-package

Bayesian Fertility Projection
tfr.map

TFR World Map
bayesTFR.mcmc

MCMC Simulation Object
tfr.median.set

Editing Medians of the Projection
tfr.predict

Generating Posterior Trajectories of the Total Fertility Rate
tfr.raftery.diag

Raftery Diagnostics for Parameters of the Total Fertility Rate
tfr.trajectories.plot

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

Run MCMC for Extra Countries, Areas or Regions
run.tfr3.mcmc

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

Plotting MCMC Parameter Density
tfr.diagnose

Convergence Diagnostics of TFR Markov Chain Monte Carlo
coda.list.mcmc

Convertion to coda's Objects
UN_variants

Dataset with UN-specific Coding of Variants
get.tfr.parameter.traces

Accessing MCMC Parameter Traces
get.thinned.tfr.mcmc

Creating and Accessing Thinned MCMCs
run.tfr.mcmc

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

Converting TFR Trajectories into ACSII Files
write.projection.summary

Writing Projection Summary Files