Usage
Compare(ysA, ysB, pi_A, pi_B, domains_A, domains_B, pik_ab_B = NULL, pik_ba_A = NULL,
N_A = NULL, N_B = NULL, N_ab = NULL, xsAFrameA = NULL, xsBFrameA = NULL,
xsAFrameB = NULL, xsBFrameB = NULL, XA = NULL, XB = NULL, met = "linear",
conf_level = NULL)
Arguments
ysA
A numeric vector of length $n_A$ or a numeric matrix or data frame of dimensions $n_A$ x $c$ containing information about variable(s) of interest from $s_A$.
ysB
A numeric vector of length $n_B$ or a numeric matrix or data frame of dimensions $n_B$ x $c$ containing information about variable(s) of interest from $s_B$.
pi_A
A numeric vector of length $n_A$ or a square numeric matrix of dimension $n_A$ containing first order or first and second order inclusion probabilities for units included in $s_A$.
pi_B
A numeric vector of length $n_B$ or a square numeric matrix of dimension $n_B$ containing first order or first and second order inclusion probabilities for units included in $s_B$.
domains_A
A character vector of length $n_A$ indicating the domain each unit from $s_A$ belongs to. Possible values are "a" and "ab".
domains_B
A character vector of length $n_B$ indicating the domain each unit from $s_B$ belongs to. Possible values are "b" and "ba".
pik_ab_B
(Optional) A numeric vector of size $n_A$ containing first order inclusion probabilities according to sampling desing in frame B for units belonging
to overlap domain that have been selected in $s_A$.
pik_ba_A
(Optional) A numeric vector of size $n_B$ containing first order inclusion probabilities according to sampling desing in frame A for units belonging
to overlap domain that have been selected in $s_B$.
N_A
(Optional) A numeric value indicating the size of frame A.
N_B
(Optional) A numeric value indicating the size of frame B.
N_ab
(Optional) A numeric value indicating the size of the overlap domain.
xsAFrameA
(Optional) A numeric vector of length $n_A$ or a numeric matrix or data frame of dimensions $n_A$ x $m_A$, with $m_A$ the number of auxiliary variables in frame A, containing auxiliary information in frame A for units included in $s_A$.
xsBFrameA
(Optional) A numeric vector of length $n_B$ or a numeric matrix or data frame of dimensions $n_B$ x $m_A$, with $m_A$ the number of auxiliary variables in frame A, containing auxiliary information in frame A for units included in $s_B$. For units in domain $b$, these values are 0.
xsAFrameB
(Optional) A numeric vector of length $n_A$ or a numeric matrix or data frame of dimensions $n_A$ x $m_B$, with $m_B$ the number of auxiliary variables in frame B, containing auxiliary information in frame B for units included in $s_A$. For units in domain $a$, these values are 0.
xsBFrameB
(Optional) A numeric vector of length $n_B$ or a numeric matrix or data frame of dimensions $n_B$ x $m_B$, with $m_B$ the number of auxiliary variables in frame B, containing auxiliary information in frame B for units included in $s_B$.
XA
(Optional) A numeric value or vector of length $m_A$, with $m_A$ the number of auxiliary variables in frame A, indicating the population totals for the auxiliary variables considered in frame A.
XB
(Optional) A numeric value or vector of length $m_B$, with $m_B$ the number of auxiliary variables in frame B, indicating the population totals for the auxiliary variables considered in frame B.
met
(Optional) A character vector indicating the distance that must be used in calibration process. Possible values are "linear", "raking" and "logit". Default is "linear".
conf_level
(Optional) A numeric value indicating the confidence level for the confidence intervals, if desired.