R: Bayesian Estimation of Nonlinear Data (BEND)

# Bayesian Estimation of Nonlinear Data (BEND)

## Documentation for package ‘BEND’ version 2.0.1

- DESCRIPTION file.
- Package NEWS.

## Help Pages

Bayes_BPREM | Bayesian Bivariate Piecewise Random Effects Model (BPREM)
Bayes_CREM | Bayesian Crossed Random Effects Model (CREM)
Bayes_PREM | Bayesian Piecewise Random Effects Model (PREM) + Extensions
getClassProb | Extract class probabilities
getClassProb.PREM | Extract class probabilities
getCoef | Extract random coefficients
getCoef.BPREM | Extract random coefficients
getCoef.CREM | Extract random coefficients
getCoef.PREM | Extract random coefficients
getFitted | Extract fitted values
getFitted.BPREM | Extract fitted values
getFitted.CREM | Extract fitted values
getFitted.PREM | Extract fitted values
getFixEf | Extract fixed effects parameter estimates
getFixEf.BPREM | Extract fixed effects parameter estimates
getFixEf.CREM | Extract fixed effects parameter estimates
getFixEf.PREM | Extract fixed effects parameter estimates
getKProb | Extract changepoint probabilities
getKProb.PREM | Extract changepoint probabilities
getModelFit | Extract model fit
getModelFit.BPREM | Extract model fit
getModelFit.CREM | Extract model fit
getModelFit.PREM | Extract model fit
getRanEf | Extract random effects
getRanEf.BPREM | Extract random effects
getRanEf.CREM | Extract random effects
getVarCov | Extract random effects variance-covariance matrix
getVarCov.BPREM | Extract random effects variance-covariance matrix
getVarCov.CREM | Extract random effects variance-covariance matrix
getVarCov.PREM | Extract random effects variance-covariance matrix
plot.BPREM | Plot the results of a bivariate piecewise random effects model (BPREM)
plot.CREM | Plot the results of a crossed random effects model (CREM)
plot.PREM | Plot the results of a piecewise random effects model (PREM)
plot_BEND | Plot a BEND Model (PREM, CREM, BPREM)
print.BPREM | Print the results of a bivariate piecewise random effects model (BPREM)
print.CREM | Print the results of a crossed random effects model (CREM)
print.getClassProb.PREM | Extract class probabilities
print.getCoef | Extract random coefficients
print.getFitted | Extract fitted values
print.getFixEf | Extract fixed effects parameter estimates
print.getKProb.PREM | Extract changepoint probabilities
print.getModelFit | Extract model fit
print.getRanEf | Extract random effects
print.getVarCov.BPREM | Extract random effects variance-covariance matrix
print.getVarCov.CREM | Extract random effects variance-covariance matrix
print.getVarCov.PREM | Extract random effects variance-covariance matrix
print.PREM | Print the results of a piecewise random effects model (PREM)
print.summary.BPREM | Summarize the results of a bivariate piecewise random effects model (BPREM)
print.summary.CREM | Summarize the results of a crossed random effects model (CREM)
print.summary.PREM | Summarize the results of a piecewise random effects model (PREM)
results_bprem | Fitted results for a BPREM
results_pcrem | Fitted results for a PCREM
results_prem | Fitted results for a PREM
SimData_BPREM | Simulated data for a BPREM
SimData_PCREM | Simulated data for a PCREM
SimData_PREM | Simulated data for a PREM + Extensions
summary.BPREM | Summarize the results of a bivariate piecewise random effects model (BPREM)
summary.CREM | Summarize the results of a crossed random effects model (CREM)
summary.PREM | Summarize the results of a piecewise random effects model (PREM)