logLik_from_design_matrix: Compute the log-likelihood from the design matrix

In courtiol/SileR: Survival Analysis of Elephants Using an Extension of the William Siler's Framework

Description

This function is called internally by other functions. It prepares data and calls predictorC_wrap to predict the probability of death and then calls the C++ function compute_logLikC to computes the log-likelihood in C++.

Usage

logLik_from_design_matrix(data, design_matrix, scale = 1,
  indices = NULL)

Arguments

data	The dataset to be used
design_matrix	The design matrix
scale	The scaling parameter (useful if the optimisation function can only minimise)
indices	The list of indices computed by compute_indices

Value

The scaled log-likelihood.

See Also

predictorC_wrap, compute_logLik

Examples

pmat <- build_param_matrix(param_values = c(0.1, 0.2), param_str = c("w1" = "s"))
dmat <- build_design_matrix(data = SurvEles_small, param_matrix = pmat)
logLik_from_design_matrix(data = SurvEles_small, design_matrix = dmat)

courtiol/SileR documentation built on May 16, 2020, 8:10 p.m.