comp_mean.tnormalmix
comp_cdf_conv.normalmix
comp_mean.normalmix
dens_conv
Compute vector of loglikelihood for data from ash fit
Generic function of calculating the first moment of components of
the mixture
The log-F distribution
comp_postmean2
comp_postmean
Generic function of computing the cdf for each component
Return lfsr from an ash object
Density method for ash object
Generic function of calculating the second moment of components of
the mixture
comp_postprob
comp_postsd
Likelihood object for Binomial error distribution
Likelihood object for logF error distribution
log_comp_dens_conv.unimix
log density of convolution of each component of a unif mixture
loglik_conv
loglik_conv.default
Estimate mixture proportions of a mixture model by EM algorithm
Generic function of extracting the mixture proportions
Sample from posterior
Find density at y, a generic function
Brief description of function.
Constructor for igmix class
Estimate mixture proportions of a mixture model by Interior Point method
cdf method for ash object
cdf_conv
comp_dens_conv.normalmix
Generic function of calculating the overall second moment of the
mixture
mean of truncated gamma distribution
mixcdf.default
density of convolution of each component of a unif mixture
my_etrunclogf
Expected Value of Truncated Normal
Generic function of calculating the component densities of the
mixture
post_sample.unimix
post_sample.normalmix
Estimate mixture proportions of a mixture model using
mix-SQP algorithm.
Estimate posterior distribution on mixture proportions of a mixture model by a Variational Bayes EM algorithm
postsd
my_etrunct
postmean2
Generic function to extract the standard deviations of
components of the mixture
comp_sd.normalmix
Estimate mixture proportions of a mixture model by EM algorithm (weighted version)
mixcdf
postmean
Compute Posterior
Summary method for ash object
Constructor for tnormalmix class
second moment of truncated Beta distribution
comp_sd.normalmix
Function to compute the local false sign rate
Likelihood object for normal error distribution
Likelihood object for normal mixture error distribution
comp_dens_conv
Expected Squared Value of Truncated Normal
log_comp_dens_conv
second moment of truncated gamma distribution
log_comp_dens_conv.normalmix
log_comp_dens_conv.normalmix
Estimate mixture proportions of a mixture g given noisy (error-prone) data from that mixture.
ncomp
Variance of Truncated Normal
Generic function to extract which components of mixture are point mass on 0
Likelihood object for t error distribution
gen_etruncFUN
Likelihood object for Poisson error distribution
ncomp.default
mean of truncated Beta distribution
The log-F distribution
Plot method for ash object
pcdf_post
Constructor for normalmix class
post_sample
my_e2trunct
prune
Print method for ash object
Diagnostic plots for ash object
vcdf_post
Constructor for unimix class
Function to compute q values from local false discovery rates
Takes raw data and sets up data object for use by ash
Compute loglikelihood for data under null that all beta are 0
ashr
Generic function of calculating the overall mean of the mixture
Performs adaptive shrinkage on Poisson data
Compute vector of loglikelihood for data under null that all
beta are 0
Compute loglikelihood ratio for data from ash fit
Generic function of calculating the overall standard deviation of
the mixture
Credible Interval Computation for the ash object
Adaptive Shrinkage
Compute loglikelihood for data from ash fit
Compute vector of loglikelihood ratio for data from ash fit
cdf_post
comp_cdf_conv
cdf of convolution of each component of a unif mixture
comp_cdf_post