15:[["$","meta","0",{"name":"viewport","content":"width=device-width, initial-scale=1"}],["$","meta","1",{"charSet":"utf-8"}],["$","title","2",{"children":"skewtreg() R function from [ForestFit] | R PACKAGES"}],["$","meta","3",{"name":"description","content":"Robust multiple linear regression modelling with skew Student's $t$ error term. The density function of skew Student's $t$ is given by [REMOVE_ME]$$ f(x,{\\Theta}) = \\frac{2}{\\sigma} t\\bigl(z;\\nu\\bigr) T\\biggl(\\lambda z\\sqrt{\\frac{\\nu+1}{\\nu+z^2}};\\nu+1\\biggr), [REMOVE_ME_2]$$\n\nwhere $z=(x-\\mu)/\\sigma$, $-\\infty<\\mu<\\infty$ is the location parameter, $\\sigma>0$ is the scale parameter, and $-\\infty<\\lambda<\\infty$ is the skewness parameter. Also, $t(u,\\nu)$ and $T(u,\\nu)$ denote the density and distribution functions of the Student's $t$ distribution with $\\nu$ degrees of freedom at point $u$, respectively. If $\\lambda=0$, then the skew Student's $t$ distribution turns into the ordinary Student's $t$ distribution that is symmetric around $\\mu$. Since Student's $t$ is a heavy tailed distribution, it is so useful for regression analysis in presence of outliers."}],["$","meta","4",{"property":"og:title","content":"skewtreg() R function from [ForestFit]"}],["$","meta","5",{"property":"og:description","content":"Robust multiple linear regression modelling with skew Student's $t$ error term. The density function of skew Student's $t$ is given by [REMOVE_ME]$$ f(x,{\\Theta}) = \\frac{2}{\\sigma} t\\bigl(z;\\nu\\bigr) T\\biggl(\\lambda z\\sqrt{\\frac{\\nu+1}{\\nu+z^2}};\\nu+1\\biggr), [REMOVE_ME_2]$$\n\nwhere $z=(x-\\mu)/\\sigma$, $-\\infty<\\mu<\\infty$ is the location parameter, $\\sigma>0$ is the scale parameter, and $-\\infty<\\lambda<\\infty$ is the skewness parameter. Also, $t(u,\\nu)$ and $T(u,\\nu)$ denote the density and distribution functions of the Student's $t$ distribution with $\\nu$ degrees of freedom at point $u$, respectively. If $\\lambda=0$, then the skew Student's $t$ distribution turns into the ordinary Student's $t$ distribution that is symmetric around $\\mu$. Since Student's $t$ is a heavy tailed distribution, it is so useful for regression analysis in presence of outliers."}],["$","meta","6",{"property":"og:url","content":"https://r-packages.io/packages/ForestFit/skewtreg"}],["$","meta","7",{"property":"og:site_name","content":"R PACKAGES"}],["$","meta","8",{"property":"og:locale","content":"en_US"}],["$","meta","9",{"property":"og:image:type","content":"image/png"}],["$","meta","10",{"property":"og:image","content":"https://r-packages.io/packages/ForestFit/skewtreg/opengraph-image?6cdc95b0c38aa621"}],["$","meta","11",{"property":"og:image:width","content":"1200"}],["$","meta","12",{"property":"og:image:height","content":"630"}],["$","meta","13",{"property":"og:type","content":"website"}],["$","meta","14",{"name":"twitter:card","content":"summary_large_image"}],["$","meta","15",{"name":"twitter:title","content":"skewtreg() R function from [ForestFit]"}],["$","meta","16",{"name":"twitter:description","content":"Robust multiple linear regression modelling with skew Student's $t$ error term. The density function of skew Student's $t$ is given by [REMOVE_ME]$$ f(x,{\\Theta}) = \\frac{2}{\\sigma} t\\bigl(z;\\nu\\bigr) T\\biggl(\\lambda z\\sqrt{\\frac{\\nu+1}{\\nu+z^2}};\\nu+1\\biggr), [REMOVE_ME_2]$$\n\nwhere $z=(x-\\mu)/\\sigma$, $-\\infty<\\mu<\\infty$ is the location parameter, $\\sigma>0$ is the scale parameter, and $-\\infty<\\lambda<\\infty$ is the skewness parameter. Also, $t(u,\\nu)$ and $T(u,\\nu)$ denote the density and distribution functions of the Student's $t$ distribution with $\\nu$ degrees of freedom at point $u$, respectively. If $\\lambda=0$, then the skew Student's $t$ distribution turns into the ordinary Student's $t$ distribution that is symmetric around $\\mu$. Since Student's $t$ is a heavy tailed distribution, it is so useful for regression analysis in presence of outliers."}],["$","meta","17",{"name":"twitter:image:type","content":"image/png"}],["$","meta","18",{"name":"twitter:image","content":"https://r-packages.io/packages/ForestFit/skewtreg/opengraph-image?6cdc95b0c38aa621"}],["$","meta","19",{"name":"twitter:image:width","content":"1200"}],["$","meta","20",{"name":"twitter:image:height","content":"630"}],["$","link","21",{"rel":"icon","href":"/favicon.ico","type":"image/x-icon","sizes":"16x16"}],["$","meta","22",{"name":"next-size-adjust"}]]

skewtreg function