| c_weight | One iteration to run Newton Raphson to get c-optimal weights |
| c_weight_1 | The first derivative of the c-optimality criterion w.r.t the... |
| c_weight_2 | The second derivative of the c-optimality criterion with... |
| D1 | Computing each element of the function c_weight_1 |
| d11 | Computing each element of the function DD_weight_1 |
| DD1 | Computing each element of the function c_weight_2 |
| dd11 | Computing each element of the function DD_weight_2 |
| DD_weight | One iteration to run Newton Raphson to get Ds-optimal weights |
| DD_weight_1 | The first derivative of the Ds-optimality criterion with... |
| DD_weight_2 | The second derivative of the Ds-optimality criterion with... |
| Deff | Obtaining D-efficiency for estimating model parameters |
| Dp | Target dose, EDp |
| DS1 | Sensitivity function of c-optimality criterion for the EDp |
| ds11 | Sensitivity function of Ds-optimality criterion |
| Dseff | Obtaining Ds-efficiency for estimating the asymmetric factor... |
| DsOPT | Search Ds-optimal design for estimating the asymmetric factor... |
| D_weight | One iteration to run Newton Raphson to get D-optimal weights |
| D_weight_1 | The first derivative of the D-optimality criterion w.r.t the... |
| D_weight_2 | The second derivative of the D-optimality criterion w.r.t the... |
| EDpeff | Obtaining c-efficiency for estimating the EDp under the... |
| EDpOPT | Search c-optimal designs for estimating the EDp under the... |
| f | Gradient of the mean function |
| g | Partial derivative of the EDp with respect to the model... |
| ginv | Generalized Inverse Matrix |
| infor | Obtain a information matrix at a single design point |
| Inv | Adjusting invere information matrix being not singular |
| Minus | Matrix subtraction |
| Multiple | Matrix multiplication |
| Plus | Matrix addition |
| RDOPT | Search the robust D-optimal designs for estimating model... |
| SDM | Summation of diagonal elements in a matrix |
| smalld1 | Sub-function of the function D_weight_1 |
| smalldd1 | Sub-function of the function D_weight_2 |
| smallds1 | Sensitivity function of D-optimality criterion |
| sMultiple | Multiply a constant to a matrix |
| S_weight | Newton Raphson method to get optimal weights |
| Trans | Transpose of a matrix |
| upinfor | Obtain normalized Fisher information matrix |
