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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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Install
install.packages('bayesTFR')
Monthly Downloads
962
Version
5.0-1
License
GPL (>= 2)
Maintainer
Hana Sevcikova
Last Published
March 4th, 2016
Functions in bayesTFR (5.0-1)
Search functions
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