C_S_fun: Computes the elementary polynomials for each row of the...
In cgaillac/MarginalFElogit: Estimation of Average Marginal Effects in Fixed Effect Logit Models
C_S_fun R Documentation
Computes the elementary polynomials for each row of the input, by induction. This corresponds
to the what the function C_S does to V in the DDL paper.
Description
Computes the elementary polynomials for each row of the input, by induction. This corresponds
to the what the function C_S does to V in the DDL paper.
Usage
C_S_fun(V)
Arguments
V
the matrix of size n x T whose coefficients are
used in the elementary symmetric polynomial. NAs can be used for
unobserved values.
Value
a matrix of size n x (T + 1) whose value in the (i, j)-th position
is C_(j-1)(X, beta) using the values of V = X' * beta in the i-th row. When
j - 1 is larger than the number of non-NA values of V in the relevant row, the
value NA is returned.
cgaillac/MarginalFElogit documentation built on Dec. 24, 2024, 3:23 p.m.
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| C_S_fun | R Documentation |
Computes the elementary polynomials for each row of the input, by induction. This corresponds to the what the function C_S does to V in the DDL paper.
Description
Computes the elementary polynomials for each row of the input, by induction. This corresponds to the what the function C_S does to V in the DDL paper.
Usage
C_S_fun(V)
Arguments
V |
the matrix of size n x T whose coefficients are used in the elementary symmetric polynomial. NAs can be used for unobserved values. |
Value
a matrix of size n x (T + 1) whose value in the (i, j)-th position is C_(j-1)(X, beta) using the values of V = X' * beta in the i-th row. When j - 1 is larger than the number of non-NA values of V in the relevant row, the value NA is returned.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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