bkmr: InvestigatePrior – R documentation

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InvestigatePrior

Investigate prior

Investigate the impact of the r[m] parameters on the smoothness of the exposure-response function h(z[m]).

InvestigatePrior(y, Z, X, ngrid = 50, q.seq = c(2, 1, 1/2, 1/4, 1/8, 1/16),
  r.seq = NULL, Drange = NULL, verbose = FALSE)

`y`	a vector of outcome data of length `n`.
`Z`	an `n`-by-`M` matrix of predictor variables to be included in the `h` function. Each row represents an observation and each column represents an predictor.
`X`	an `n`-by-`K` matrix of covariate data where each row represents an observation and each column represents a covariate. Should not contain an intercept column.
`ngrid`	Number of grid points over which to plot the exposure-response function
`q.seq`	Sequence of values corresponding to different degrees of smoothness in the estimated exposure-response function. A value of q corresponds to fractions of the range of the data over which there is a decay in the correlation `cor(h[i],h[j])` between two subjects by 50`%`.
`r.seq`	sequence of values at which to fix `r` for estimating the exposure-response function
`Drange`	the range of the `z_m` data over which to apply the values of `q.seq`. If not specified, will be calculated as the maximum of the ranges of `z_1` through `z_M`.
`verbose`	TRUE or FALSE: flag indicating whether to print to the screen which exposure variable and q value has been completed

Bayesian Kernel Machine Regression

v0.2.0

GPL-2

Authors

Jennifer F. Bobb [aut, cre]

Initial release