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Insert GLM Time Variation

Source: R/tmb_model_editors.R
mp_tmb_insert_glm_timevar.Rd

Insert GLM Time Variation

Usage

mp_tmb_insert_glm_timevar(
  model,
  parameter_name,
  design_matrix,
  timevar_coef,
  link_function = mp_log,
  matrix_coef_name = sprintf("matrix_coef_%s", parameter_name),
  matrix_row_name = sprintf("matrix_row_%s", parameter_name),
  matrix_col_name = sprintf("matrix_col_%s", parameter_name),
  linear_pred_name = sprintf("linear_pred_%s", parameter_name),
  timeseries_name = sprintf("timeseries_%s", parameter_name),
  timevar_coef_name = sprintf("time_var_%s", parameter_name),
  time_index_name = sprintf("time_index_%s", parameter_name),
  sparsity_tolerance = 0
)

Arguments

model

A model specification (see mp_tmb_model_spec).

parameter_name

Character string giving the name of the parameter to make time-varying.

design_matrix

Matrix of time variation.

timevar_coef

Initial coefficient vector.

Link function given by functions like mp_log.

matrix_coef_name

Name of the vector containing values of the non-zero elements of the design matrix.

matrix_row_name

Name of the vector containing row indices of the non-zero elements of the design matrix.

matrix_col_name

Name of the vector containing column indices of the non-zero elements of the design matrix.

linear_pred_name

Name of the vector containing the linear predictor.

timeseries_name

Name of the vector containing the time-series of the varying parameter.

timevar_coef_name

Name of the vector containing the time-varying parameter coefficients.

time_index_name

Name of the index at which the time varying parameter changes.

sparsity_tolerance

Make design matrix coefficients exactly zero when they are below this tolerance.