Power and Sample Size Calculation for Differential Abundance Microbiome Studies

---

Documentation for package ‘power.nb’ version 0.1.0

• DESCRIPTION file
• User guides, package vignettes and other documentation
• Package NEWS
• Package README

Help Pages

contour_plot_fun	Contour plot for showing predicted power
countdata_sim_fun	Simulate Count Data for Microbiome Studies
deseqfun	Estimate log fold changes using 'DESeq2'.
deseq_fun_est	Fold change and p-value estimations for simulations
dispersion_fit	Fit the non-linear function to dispersion estimates
dispersion_fun	Calculate Dispersion for Microbiome Data
dnormmix	Density of a Normal Mixture Model
dnormmix0	Density function for the mixture of Gaussian distributions
filter_low_count	Filter to remove low abundant taxa
gam_fit	Title
genmixpars	generate normal mixture parameters (prob vector, mean vector, sd vector for a specified set of 'x' values (logmean)
gen_parnames	Generate Parameter Names for Mixture Model
logfoldchange_fit	Fit a mixture of Gaussian distributions to log fold change
logfoldchange_sim_fun	Simulate Log Fold Change Values
logmean_fit	Fit a mixture of Gaussian Distributions to log mean count of taxa.
logmean_sim_fun	Simulate Log Means for OTUs
myrnormmix	Simulating from a mixture of Gaussian
nllfun	Objective function
optimal.comp	Computes the optimal number of gaussian components for log mean count
polyfun	General-purpose log-likelihood function, vectorized sum(pars*x^i)
power_fun_ss	Fit a smooth power model for sample size estimation
read_data	Extract specified data from a list of datasets
rnormmix0	general-purpose normal-mixture deviate generator: takes _matrices_ of probabilities, means, sds
sample_size_ss_interp	Estimate sample size required to achieve a target statistical power
ss_solver	Solve for the sample size required to achieve a target statistical power
uniroot_ss	Sample Size estimation function using uniroot