Man pages for mpower
Power Analysis via Monte Carlo Simulation for Correlated Data
| bkmr_wrapper | Fits a BKMR model with significance criteria: PIP and... |
| bma_wrapper | Fits a linear model with Bayesian model selection with... |
| bws_wrapper | Fits a Bayesian weighted sums |
| cor2partial | Convert a correlation matrix into a partial correlation... |
| cvine | Citation: Daniel Lewandowski, Dorota Kurowicka, Harry Joe,... |
| estimate_snr | Monte Carlo approximation of the SNR |
| fin_wrapper | Fits a Bayesian factor model with interactions |
| fit | Fits the model to given data and gets a list of significance... |
| genx | Generates a matrix of n observations of p predictors |
| geny | Generates a vector of outcomes |
| glm_wrapper | Fits a generalized linear model |
| InferenceModel | Statistical model that returns significance criterion |
| MixtureModel | Correlated predictors generator |
| mplot | Visualize marginals and Gaussian copula correlations of... |
| mpower | mpower: Power analysis using Monte Carlo for correlated... |
| nhanes1518 | NHANES data from 2015-2016 and 2017-2018 cycles |
| OutcomeModel | Outcome generator |
| partial | Partial correlations between elements in x and elements in y |
| plot_summary | Plot summaries of power simulation |
| qgcomp_lin_wrapper | Fits a linear Quantile G-Computation model with no... |
| qmultinom | Quantile function for the multinomial distribution, size = 1 |
| rsq2snr | Convert R-squared value to the SNR |
| scale_f | Rescale the mean function of an OutcomeModel to meet a given... |
| scale_sigma | Rescale the noise variance of a Gaussian OutcomeModel to meet... |
| set_value | This function updates values in an OutcomeModel object |
| sim_curve | Power curve using Monte Carlo simulation |
| sim_power | Power analysis using Monte Carlo simulation |
| summary | Tabular summaries of power simulation |
