plotReg
(Package: BayHap) :
Plot acf, running mean, density functions and trace histories
Displays plots of the autocorrelation function, the running mean, the density functions and the trace histories for the parameter(s) in the MCMC sequence. This function is suitable to plot objects of class reg.
● Data Source:
CranContrib
● Keywords:
● Alias: plotReg
●
0 images
|
plotFreq
(Package: BayHap) :
Plot acf, running mean, density functions and trace histories
Displays plots of the autocorrelation function, the running mean, the density functions and the trace histories for the parameter(s) in the MCMC sequence. This function is suitable to plot objects of class freq.
● Data Source:
CranContrib
● Keywords:
● Alias: plotFreq
●
0 images
|
plotDensity
(Package: BayHap) :
Plot Density Functions
Estimates and displays the density function(s) for the specified parameter(s).
● Data Source:
CranContrib
● Keywords:
● Alias: plotDensity
●
0 images
|
plotACF
(Package: BayHap) :
Plot autocorrelation function
Creates a single plot of the lag autocorrelations for a specified parameter.
● Data Source:
CranContrib
● Keywords:
● Alias: plotACF
●
0 images
|
haplo.prior
(Package: BayHap) :
Prior values for model parameters
Function only to be called inside bayhapReg
● Data Source:
CranContrib
● Keywords:
● Alias: haplo.prior
●
0 images
|
correl
(Package: BayHap) :
Correlation Matrix
Computes and displays the correlation matrix for the parameters in the MCMC sequence.
● Data Source:
CranContrib
● Keywords:
● Alias: correl
●
0 images
|
conv.test
(Package: BayHap) :
Heidelberger and Welch Convergence Diagnostics
Computes the Heidleberger and Welch convergence diagnostics for the parameters in an MCMC sequence.
● Data Source:
CranContrib
● Keywords:
● Alias: conv.test
●
0 images
|
bayhapReg
(Package: BayHap) :
Bayesian analysis of haplotype association using Markov Chain Monte Carlo
This is the main function of this pachage. This function implements the simultaneous estimation of uncertain haplotype frequencies and the association between haplotypes and quantitative, binary and survival traits based on generalized linear models. Prior values for model parameters can be specified by the user. Convergence diagnostics and statistical and graphical analysis of the sampling output must be carried out to ensure the convergence of the chain.
● Data Source:
CranContrib
● Keywords:
● Alias: bayhapReg, print.reg
●
0 images
|
bayhapFreq
(Package: BayHap) :
Estimation of haplotype frequencies
This function performs the estimation of uncertain haplotype frequencies. Bayesian statistics and Markov Chain Monte Carlo techniques are the theoretical framework for the method implemented in this function. A random walk sampling draws the posterior distribution for haplotype frequencies. Convergence diagnostics and statistical and graphical analysis of the sampling output must be carried out.
● Data Source:
CranContrib
● Keywords:
● Alias: bayhapFreq, print.freq
●
0 images
|
autocorr
(Package: BayHap) :
Autocorrelation Function
Computes lag autocorrelations for the parameters in an MCMC sequence.
● Data Source:
CranContrib
● Keywords:
● Alias: autocorr
●
0 images
|
providing 
.