Provides tools to manipulate formulas, such as getting x, y or contrasts from the model/formula, and functions to evaluate and check the marginal effects of a linear model.
|Date of publication||2016-07-06 09:50:47|
|Maintainer||Fan Yang <email@example.com>|
check_names_delete: check whether list names (tobechecked) is within specified...
check_single_numeric: check whether an object is a single numeric number
check_vec_meaningful: check x is a meaningful vector
deleting_wrongeffect: check monotonicity of marginal impacts and re-estimate the...
effect: evaluate the marginal effects of the selected raw variable on...
Enter_to_Continue: Enter_to_Continue: wait your response to continue
expand_grid: a wrap up of 'expand.grid()' that takes list
focusing_var_coeff: focusing on selected variables in the model, and eliminating...
get_contrast: get contrast of categorical variables in a model
get_data_from_lm: get raw data from lm or glm
get_model_pair: get a list of model vars with their corresponding coeff vars...
get_model_with_coeff: get a list of model variables with their corresponding coeff...
get_model_with_raw: get a list of model vars with their corresponding raw vars.
get_valid_rows: identify missing rows for model/formula.
get_x: get x (left hand of var) from model or formula
get_x_all: a unique combinations of model vars, coeff vars and raw vars
get_x_hidden: the underlying function of 'get_x'
get_y: get y (right hand of var)
is_decrease: check whether the vector is decreasing
is_increase: check whether the vector is increasing
Mode: get mode number from a numeric vector
paste_formula: paste a formula as string
sanity_check: check x with various characters
stepwise2: same as 'step()' in R, but able to check marginal effects.
stripGlmLR: make the lm or glm thin