Man pages for brentp/clustermodelr
Models on clusters of correlated data
| bumpingr | Run a local bump-hunting algorithm |
| clustermodelr | Model clustered, correlated data |
| clust.lm | dispatch to one of the implemented cluster methods |
| combiner | Run lm on each column in a cluster and combine p-values with... |
| combiner.missing | Run lm on each column in a cluster and combine p-values with... |
| expand.covs | convert data to long format so that 'covs' is replicated once... |
| geer | Use Generalized Estimating Equations to assign significance... |
| gen.correlated | generate correlated data |
| lmr | Run lm on a single site |
| make.correlated | make existing data correlated |
| mclust.lm | dispatch to one of the implemented cluster methods.... |
| mclust.lm.X | dispatch to one of the implemented cluster methods.... |
| mixed_modelr | Use mixed-effects model in lme4 syntax to associate a... |
| nb.mixed.count | Fit a mixed effect model with lme4 syntax on count data using... |
| read.bin | used to communicate quickly from python |
| readX | read a matrix of numeric values with the first column as the... |
| skatr | Use SKAT to associate a covariate with a cluster of data. |
| stouffer_liptak.combine | Perform the stouffer-liptak correction on a set of correlated... |
| zscore.combine | Combine p-values by the z-score correction. |
